Patent Application
20230291230
None
This application relates to devices, systems, and methods for electrical distribution grid edge energy management and routing.
Advanced power delivery is essential to meeting the growing demand for power distribution. Power consumers expect safe and reliable electricity, and the generation and consumption of power is increasingly monitored, analyzed, scrutinized, and reported. Further, the environmental effects of the worldwide increase in energy demand are alarming, raising the need for enhanced efficiency in not only power generation, but also power distribution and use. Power delivery systems need to evolve. Today’s electrical grid, for example, was designed for a less-demanding consumer, in a less-demanding time, and for a significantly less-demanding purpose.
Consumers’ steady adoption of new energy-related technology has the potential to reduce the price of adopting and exposing weaknesses in the fragile electrical distribution grid. The power distribution grid, which may also be referred to as the grid, was designed over a century ago. The grid was designed without anticipating the need to accommodate solar panels, wind turbines, electric vehicles, energy storage, and many other devices. Simultaneously, consumer intolerance for extended outages has grown, efficiency mandates are numerous, and traditional generation practices are being scrutinized. A need for a modernized grid exists
The power distribution substation is, in most distribution grids, the last point of “energy traffic control” before electricity is sent downstream to thousands of consumers. The growing emphasis on generation emissions and pressures to reduce carbon footprints necessitate system-wide efficiency gains, and exposed the limitations of the distribution grid and substation design. Because utilities (i.e., power providers) are able to control distribution only up to a power substation, utilities are limited on achievable efficiency gains in the overall grid. Furthermore, centralized software platforms approach promised some degree of improved efficiency and load management, but the required a complicated complementary environment and supporting infrastructure not heretofore seen. Modernizing the distribution grid in this fashion will create the growing need for an immense communications bandwidth, extensive centralized processing power, numerous functioning downstream sensors, and intelligent hardware able to enact organized adjustments on a granular scale.
The distribution transformer is an example of a grid edge component with limited usefulness in a modernized grid. Electric utility systems typically distribute power using transmission and distribution networks. High voltage (e.g., 69 kV and above) transmission networks are used to convey power from generating stations to substations that feed lower voltage (e.g., 35 kV and below) distribution networks that are used to carry power to homes and businesses. In a typical distribution network used in residential areas, for example, a 7.2 kV single-phase distribution line may be run along a street, with individual residences being fed via respective service drops from distribution transformers that step down the voltage to a 120/240 V service level. The electrical distribution system in the United States, for example, includes millions of such distribution transformers.
The edge of most modern electrical distribution networks or grids, e.g., the grid location just before demarcation to an end customer, or upstream of a power meter, is represented by a distribution transformer performing the last voltage reduction to the customer’s consumed voltage (usually 100-600 Vac). Although conventional distribution transformers are rugged and relatively efficient devices, they generally have limited control capabilities. For example, the impedance of the load connected to a distribution transformer typically dictates reactive power flow through the transformer, as typical conventional distribution transformers have no ability to control reactive power flow. In addition, while traditional distribution transformers can be enhanced to adjust voltage provided to the load using mechanisms such as tap changers, such capabilities are typically more expensive and seldom used, and typically cannot effectively regulate the load voltage in real time to compensate for transient sags and spikes. Conventional distribution transformers also typically have no capability to compensate for harmonics introduced by non-linear loads. Hybrid transformers that may address some of these issues are described in U.S. Pat. No. 8,013,702 to Haj-Maharsi et al., U.S. Pat. Application Publication No. 2010/0220499 to Haj-Maharsi et al., U.S. Pat. Application Publication No. 2010/0201338 to Haj-Maharsi et al. and the article by Bala et al. entitled “Hybrid Distribution Transformer: Concept Development and Field Demonstration,” IEEE Energy Conversion Congress & Exposition, Raleigh, NC (September 15-20, 2012). However, today’s distribution transformer has no intelligent computing sub-system and is essentially a simple, one-function, passive component.
The limitations of the transformer are only one example of the hurdles facing a modernized distribution grid. Today’s grid also has a limited ability to integrate renewable power generation, as can be seen by the number of consumers seeking to integrate sources such as photovoltaic (PV) systems, and the correlated mandates to connect such devices to the grid. The distribution grid was originally designed for large centralized generation facilities and power flow in one direction - to the consumer. Unfortunately, centralized generation can neither sync with hundreds of power sources nor accommodate their variability. Although utilities have experimented with various energy storage solutions, there is still a need for an intelligent orchestration of power flow between the generation, storage, and load.
The outdated distribution grid and lack of intelligent grid components is also apparent from the broad societal effects of extended outages. Power outages often result from an inability to sectionalize smaller portions of the grid, and reroute power to the healthy sections in an intelligent and controlled manner. Grid reliability and resilience are principal initiatives at many utilities. The distribution grid limitations described above will continue to hinder these initiatives. Traditional utility equipment, grid assets, and supporting distribution and routing methodology, will not be enough to enable such initiatives. What is needed is a new generation of versatile equipment with advanced capabilities is imperative to permit utilities to meet regulatory mandates, remain competitive, and evolve with customer needs.
What is needed is the introduction of intelligent and adaptable capabilities in the power distribution grid, and preferably at the grid edge at either the consumer’s location or the distribution transformer, downstream of the substation. Similarly, what is needed is the introduction of granular power control at key intersections throughout the grid. Described herein are devices, systems, and methods that combine innovative power electronics-based devices with advanced software and communications capabilities.
Described herein are electrical distribution grid edge energy manager and router devices, generally referred to as the “GER device,” and systems and methods to utilize embodiments of GER devices in the power distribution grid for efficient power distribution, routing, and management. Embodiments of the GER device support ongoing power system evolution, such as by empowering utilities and consumers to achieve multiple objectives simultaneously with the power delivery system. Embodiments of the GER device may integrate renewable generation, significantly increase distribution efficiency, optimize distribution electricity flow, and increase overall grid reliability and resilience, through one or more of the features and methods described herein.
In some embodiments, end users of embodiments of the GER device may be utilities, including power generation companies, power distribution companies, operators of power substations and/or distribution transformers, generation locations, and ultimate users of the GER device. In this disclosure, the term consumer generally and broadly refers to the recipient and/or user of electrical power from a power distribution grid, such as, for example, a home owner, a building owner or operator, an institution or facility, and typically (but not always) will be customers of a utility company.
Numerous embodiments of a GER device are possible. The following description is in no way intended to be limiting with respect to the scope of the disclosure. For example, a GER device may include a primary electrical connection terminal for receiving power, and at least one secondary electrical connection terminal for supplying power. Power may be received, for example, from an electrical grid power supply, such as a power distribution transformer or a power substation. The GER device may provide power to, for example, a consumer electrical supply line, such as a supply line providing power to a consumer premise. The GER device may include a modular electrical circuit layer. The modular electrical circuit layer may include one or more circuits as described below. For example, the modular circuit layer may include a power processing circuit for receiving power from the primary electrical connection terminal and providing power from the central DC stage to at least one of the at least one secondary electrical connection terminal.
In some embodiments, the modular circuit layer may include a central DC power stage. The power processing circuit may be configured to convert power received at the central DC power stage to DC power, and to convert DC power exiting the central DC stage to AC power. A central DC power stage may advantageously allow for incorporating power supplied by AC power sources and DC power sources. A central DC power stage may also allow for providing power to AC power loads and DC power loads. A central DC power stage may also allow for AC phase synchronization.
Embodiments of the GER device may include a controller layer configured to control other features, functions, components, and/or layers of the GER device. For example, a controller layer may control the modular electrical circuit layer. The controller layer may include one or more computer processors and non-volatile memory, and may be configured to run one or more algorithms as described in more detail below. Algorithms may include, for example only, internal status algorithms, grid event management algorithms, power distribution algorithms, algorithms for managing reactive power, safety protocols, internal bypass algorithms, cooling and heat management algorithms, cold start protocols, micro-grid formation and management protocols. One of ordinary skill should recognize that numerous algorithms may be developed and used to enable the features and functions described below, with respect to both a single GER device and also a micro-grid formed from more than one GER device.
Embodiments of the GER device may include a physical layer comprising, for example, one or more communication devices. The physical layer may be configured to provide one or more communications services, through one or more communication devices. A communication device may be in operable communication with the controller layer. In some embodiments, a communication device may communicate with one or more of an end user, such as a utility, a consumer, and other GER devices.
Embodiments of the GER device may include one or more bi-directional DC power connection ports. A DC power connection port may be configured for electrical communication with a DC power resource, and may be in electrical communication with a central DC power stage. For example, a DC power connection port may provide DC power to or from a central DC power stage.
Embodiments of the GER device may include one or more AC power connection ports. An AC power connection port may be configured for electrical communication with an AC power source, and may be in electrical communication with an AC-to-DC power converter. The AC-to-DC power converter, in turn, may be in electrical communication with the central DC stage. In some embodiments, the GER device may receive power from and/or supply power to AC power devices and DC power devices.
Embodiments of the GER device may contain one or more sensors for sensing various parameters. For example, sensors may monitor at least one of voltage, current, power quality, and device load. Sensor may be used to monitor the primary electrical connection, secondary electrical connections, and various stages, circuits, components, and layers within a GER device.
In some embodiments, a GER device may use one or more sensors in connection with distributing power, monitoring loads, and adjusting for power quality, for example. Embodiments of the GER device may include a Power Quality Meter, which may be a physical device or a virtual device, for measuring power quality of the primary electrical terminal and the at least one secondary electrical terminal. Embodiments of the GER device may include a virtual AMI meter, for measuring load on the GER device. In some embodiments, the GER device may measure load on one or more consumers receiving power from the GER device. For example, a GER device may include one or more current sense connection sockets for current sense cables that monitor electrical parameters on a secondary electrical connection terminal or supply line.
A GER device may be configured for mounting on a pole, on a transformer pad, and/or on a building or consumer location. For example, a GER device may include an outer enclosure enclosing at least a portion of the GER device, and the enclosure may be configured for mounting on at least one of a pole, a pad, and a building. Embodiments of the GER device may include one or more heat sinks.
Embodiments of the GER device may include a variety of communications devices, features, and functionality. A GER device may communicate with other GER devices, an end user, a consumer, third parties, and other electrical devices, for example. For instance, a GER device may include a communications link configured to receive data indicative of at least one of power provided to at least one consumer, and power demanded by at least one consumer.
Embodiments of the GER device may include a Power Factor Correction stage and a Voltage Regulation stage. Some embodiments may include at least one harmonics filter.
The following paragraphs describe various embodiments and features of an electrical distribution grid edge energy manager and router device, generally referred to as the GER device. It should be understood that numerous embodiments of the GER device are described herein, and thus a GER device may incorporate any number of the features described below. Likewise, the embodiments of methods for managing and routing electrical distribution described below may use different embodiments of a GER device.
Embodiments of the GER device may serve as an energy manager and router at or near the edge of an electrical distribution grid. Disclosed herein are embodiments of a GER device that may be used as a scalable energy management platform solution for one or more end customers in an electrical distribution network. It should be understood that the “end customer” referred to herein is generally the user of electrical power provided by an electrical distribution network, such as the tenants of a single family dwelling, institution, industrial location, or office building, as examples. GER devices described herein may be owned and/or operated by a utility provider (e.g., power company), and serve as a customer-centered platform to manage energy provision and usage. It should be understood that alternative ownership and operation arrangements are possible.
The GER devices described herein may provide a platform to add one or more features, described below, to a distribution transformer. GER devices also provide additional features and benefits to both the utility company and end customer, in particular by leveraging the value of the installation position of the distribution transformer (e.g., on a pole or a pad close in proximity to the consumer’s premises). Additionally, GER devices may serve as a platform for providing other features, such as, for example, communications services, local and remote management, and intelligence to components of the electrical distribution grid.
While embodiments of the device may be used in conjunction with a distribution transformer, some embodiments of the device, discussed below, also include the functionality of the existing distribution transformer (e.g., voltage step down to the voltage level used by a consumer), and therefore can entirely replace the distribution transformer.
A GER device may be a self-contained unit, and may be located downstream of an energy source, such as a distribution transformer, and upstream of an energy consumer’s connection to the energy distribution grid, such as a consumer’s service breaker panel. Embodiments of the GER device may provide energy management and routing services (among other features and services) to one or more customers. Embodiments of the GER device may be configured for one or more mounting locations, such as, for example, mechanical mounting to a power line or utility pole, a ground-based pad mounting, or attached to the customer premise. Embodiments of the GER device may be thermally stable and thermally managed through various mechanisms, including but not limited to convection, heat pipes, optional forced air and thermoelectric coolers, as examples. Embodiments of the GER device may include a modular multi-stage power processing circuit that can be scaled to multiple power levels based on application requirements. Embodiments of the GER device may include a computing system, consisting of one or more microprocessor(s) and enabling embedded software for control/status, self-management, micro grid management and communications.
Embodiments of the GER device may include one or more physical layer communications devices, including but not limited to: Wi-Fi, Wi-Max, cellular, and power-line-carrier. Some embodiments may include non-volatile storage. Some embodiments may include a rechargeable battery backup. The backup may be, for example, power-over-Ethernet (PoE), on device photovoltaic (PV) systems, a high-voltage (HV) inductive coil, among other conventional rechargeable power supplies. The battery backup may provide for, as examples, continued internal operations (such as communications) during power outages, and initial start-up when attached to a high voltage feeder. Embodiments of the GER device may include a GPS location service. Embodiments of the GER device may include one or more user interfaces (UI). The UI may be hardwired to the device, integral to the device, or linked to the device. For instance, the UI may be linked to a GER device by a local RF link, a customer premise link, and a utility central office link. A bypass capable capability upon device fault or command. Features of the GER device, such as those described above and below, may be added to the GER device in a modular fashion. Modules may include hardware and/or software.
Embodiments of the GER device may include one or more functional units mounted onto a main heat sink. In some embodiments, the heat sink and mounted functional units may be enclosed in an outer enclosure, and the outer enclosure may be configured for (i) pole mounting, such as on an electrical line pole, (ii) mounting on a pad mount, or (iii) mounting on an end consumer’s premise.
Mounting of equipment on a utility pole, a utility pad, or at the customer premises presents very different mechanical challenges, especially when various power levels are considered. Generally, meeting such challenges require multiple and independent mechanical designs or configurations. However, in some embodiments of the GER device, these mounting challenges are met through strategically mounting of some or all of the functional components (including, for example, power stage switches, a main controller, an application controller, and sensors) on the heat sink, and then subsequently mounting the heat sink inside a customized outer enclosure tailored to the specific mounting requirements of a particular installation. In such embodiments, the functional switching components may be placed within a module which is transferrable across multiple application environments. The common functional unit may be configured to reside in a multitude of external enclosures and a number of mounting options. Additionally, using a common functional unit reduces manufacturing and inventory costs.
GER device 1 may be inserted into the distribution grid in several locations. For example, GER device 1 may be attached directly to a distribution transformer, mounted on a power line pole or similar structure, attached to a ground-based mounting pad, or attached to a consumer’s location (e.g., a consumer’s premise). GER device 1 may be configured for one or more mounting options. For example, embodiments of the GER device may feature a common heat sink 2 and/or layers and components for use with one or more mounting configurations. The common heat sink 2 and/or layers and components may be enclosed in a pole-mountable and/or a pad-mountable outer enclosure. The various components, including switching components for power processing, may be located on one or more transferrable modules for multiple application environments.
In some embodiments of pole-mounted GER devices, the GER device 21 may be located below the distribution transformer 25, and offset at about 90 degrees on the pole 27 relative to the distribution transformer 25.
Embodiments of the GER device may incorporate multi-use mounting brackets configured for connecting the device to a pole, such as, for example, by strapping or bolting. Embodiments of the GER device may be configured for use with a multitude of pole materials and pole diameters.
In the embodiment shown in
Embodiments of the GER device may be mounted on existing pads.
In some embodiments, cabling for standard pad mounted transformers enters and leaves from a space below the pad cut into the ground. When an additional pad is placed next to the existing pad, the pit below the existing pad may be further dug out to increase the volume of cable management space below the whole transformer and device. Primary cables enter as before and are connected to the primary input of the distribution transformer. Cables from the secondary of the distribution transformer that previously exited the pit to attach to the load may be attached to the secondary of the GER device. The secondary of the distribution transformer is attached to the primary of the GER device, such as a multiport connection bar, via a short cable assembly that may be housed in the pit or trench. For example, in the embodiment shown in
Under certain application scenarios the device may be mounted at the customer premises.
The GER device 61 in
This mounting option has certain advantages in terms of ease of installation, added bypass capability, easier tie in to customer owned renewables, and home automation and use of existing AMI connections, to name a few. Premises mounting may be achieved in a number of manners, including, for example, a standard pad mount option on the side of the customer premises 62 of a wall mounted external enclosure. In any mounting option, a common functional unit may be used within the GER device 61.
The mounting versatility of embodiments of the GER device 61 allow for a centrally located junction point on the consumer’s premise 62 for numerous features and services described herein, including, for example, metering, power parameter control, DC-connectivity, and/or home automation control, and aggregation. Mounting of a utility-controlled apparatus on the consumer’s premises 62 permits easy installation, integration, and maintenance, which may include internal metering functions.
Advanced Metering Infrastructure (AMI) is likely to be deployed throughout large portions of most electrical distribution grids worldwide. The amount of data generated and communications bandwidth consumed is likely to become an important issue for electric utilities.
Metering data may be collected from individual consumer meters 75 by GER device 71, which may then process the metering data and then transmit the data 76 (processed or unprocessed) to centralized utility facilities 77, such as for billing purposes, for example. The GER device 71 may use a local communications link 74 to communicate with one or more consumer meters 75. As more components within the distribution grid become intelligent components, more communications traffic results, and a more complex and heavily utilized communications infrastructure is required. The GER device 71 may provide the ability to integrate AMI features for one or more consumers, and may locally aggregate data from multiple AMI meters 75. Integration of the AMI function 73, such as for a total load meter on the GER device 71, may reduce capital costs, particularly where the common functional units include the required metering. Additionally, the device installation location may reduce the potential for tampering due to the reduced access. Furthermore, communications requirements for the consumer AMI meters 75 may be integrated with onboard GER device 71 communications systems, thus reducing general traffic overhead or the number of specific communications links required. Aggregation of several local streams of AMI traffic may also significantly reduce AMI traffic overheads and management needs, which may become valuable as data traffic volume proliferates over time.
Some embodiments of the GER device 71 may include onboard non-volatile storage 72. During times of communications outage, AMI data can be stored within the non-volatile storage 72 for later processing and/or transmission. Local processing of meter data for power management, demand management, and other electric utility purposes, are among the advantages of including an onboard AMI meter 73 in a GER device 71. Decentralized storage of metering data through various integrated data storage methods may be included in embodiments of a GER device 71.Sstrategic physical installation and onboard encryption methods may be used to reduce the risk of AMI tampering.
Voltage, current, and power sensing are also features that may be included in embodiments of the GER device. Increasingly intelligent, efficient, and reliable distribution grids require an increased number of sensing points where a utility acquires knowledge of voltage, current and power quality. Increasing the number of sensing points adds visibility to the utility, which in turn allows for improved decisions concerning dynamic distribution grid management and faster responses to faults.
Embodiments of a GER device 81 including such internal power sensing provides a virtual Power Quality Meter (PQM) at the device’s install point. The provision of a separate PQM would normally require utility personnel visiting the installation location and incurring all associated costs. This can become extremely expensive. In embodiments featuring a virtual PQM 83, load and PQM data may be reported to the utility for use in demand response programs and coordinated with customer-installed home management systems. Through load characterization data (historical load power draws correlated to time of the day), the utility is able to more easily and efficiently detect/manage outages.
When mounted on the pole or the pad and with an internal virtual AMI meter 82 in co-operation with an existing AMI meter 75 attached to one or more customer loads that the GER device 81 is supplying (Customer, 1, 2, 3, 4), the GER device 81 can conduct analysis between internal data and that data which is provided from the external meter 75 to easily identify non-technical losses between a distribution transformer and customer premises. These features permit various protocols for detecting suspicious or problematic events. For example, the following scenarios may be used to determine when a GER device will flag and report an issue to the utility’s central office:
Thus, embodiments of the GER device 81 may include virtual PQM meters 83, thereby allowing PQM capabilities at install points. Historically, PQM capabilities are achieved only through onsite utility personnel and a specialized externally-connected PQ Meter. Embodiments of the GER device 81 may also permit increased resolution of load and associated demand through remotely available characterization data. Algorithms may be used, independently or in conjunction with meter(s) or a substation, to effectively identify and communicate non-technical losses within a distribution network.
The communications infrastructure used to deliver data between distribution grid assets is an important element of a reliable and efficient distribution grid. A primary issue is the communications bandwidth and amount of data provided over a set period of time. Embodiments of the GER device may contain a physical layer providing one or more physical layer communications capabilities. In some embodiments, the physical layer may be flexible and agnostic with respect to the evolving distribution grid communications infrastructure, such that communications capabilities may be replaced, added, and/or updated as the communications infrastructure continues to evolve.
This local communications ability is useful in relation to forming and operating micro-grids of more than one GER device, as described below. Additionally, this local communications ability permits the unique routing of communications around faults as described below. Should a GER device or other local grid asset be incapable of reaching a centralized management entity 94, for example, the local communications links 92 may allow communication via another GER device 91 that can reach that central entity 94 via, for instance, internal routing protocols within the micro-grid application software within a GER device. Furthermore, embodiments of the GER device also provide encrypted communications. Encrypted communications may be on a unit by unit basis, rather than using one encryption key for the whole network. Encryption and access control may be changed on a rotating schedule scheme, and may be implemented at the local level rather than network wide.
As with AMI data, other local grid assets, such as assets that provide sensing data, can use these local communications links 92 to enable one or more GER device 91 to aggregate select data, conduct localized processing and/or compression, and send the results to a central management agent 94 or other destination for subsequent use or processing.
The ability to provide an agnostic nature in the GER device 91, with respect to physical layer communications 92, provides for wide ranging and higher levels of co-operation between grid assets. Further, these capabilities offer a communications interface that may agnostic as to a service provider. Embodiments of the GER device may also include a software layer configured to communicate with one or more grid components and locations. Further, in micro-grid scenarios, the unique routing of communications internally to the micro-grid application software may increase the likelihood of critical messages from other GER devices 93 reaching the substation 95 or central office during an outage scenario. Local communications links 92 may also be utilized for transmitting data stored within, received by, and/or sensed by a GER device.
At times of peak load or when generation capabilities are constrained, it may be beneficial for a distribution grid to employ methods to reduce the end user load in an efficient and cooperative fashion, thus avoiding “brown-outs” or eventual outages.
Embodiments of the GER device described herein present an ideal demarcation point for a load management scheme. A load management scheme may be implemented at the customer level, as opposed to the historical distribution feeder level. The installation point of the GER device permits cooperation between the GER device and one or more customer load management apparatus, and may also link to any associated consumer management system, and a utilization of the prescribed methods for a load management scheme.
Some embodiments may use closed-loop feedback. The GER device may be given continual knowledge of the consumer load and can essentially “negotiate” with the consumer, even on a dynamic basis, regarding power requirements. One of ordinary skill should appreciate that various combinations of utility controlled load reduction steps and customer “veto” options may be included in a load management scheme. This versatility allows a highly flexible and extensive range of load control schemes. The one-to-one relationship between load and controller allows a utility to limit and/or control brown out (or outage control), and the brown out may be limited to a selected set of consumers.
In the case of a grid event whereby a GER device loses primary power, and also runs out of any backup power, it may be desirable for the GER device to keep certain essential and/or pre-elected processing and communications functions operational in the GER device, in lieu of shutting down completely. The close physical proximity and communications link between the GER device and the consumer home management system provides an optional power linkage. In the optional power linkage, embodiments of the GER device may use power techniques to draw power from the consumer, such as Power over Ethernet (PoE), to power one or more components of the GER Device.
Thus, embodiments of the GER device may serve as an intelligent intersection for either or both a utility controlled or customer-utility negotiated load control. Embodiments of the GER device may include an algorithm to implement load negotiation. Embodiments of the GER device may incorporate a layered approach to load negotiation, which as shown in
The increasing complexity of distribution grid assets is expected to cause a rise in operational and maintenance costs. It will be valuable for intelligent devices and components of the distribution grid to include systems and methods that reduce or minimize operation and maintenance costs. Embodiments of the GER device may incorporate devices, systems and methods for reducing and/or minimizing operation and maintenance costs. For example, embodiments of the GER device may be configured to follow one or more algorithms that result in operation and maintenance efficiencies. One example is internal status monitoring. Embodiments of the GER device may be configured to follow one or more algorithms for monitoring internal status of the GER device.
The ability to include extensive internal monitoring capabilities in a GER device aids in the automatic calibration of various sensors in the grid system and the GER device, thus maintaining accuracy of sensor readings without the need for frequent calibration by utility personnel or other means. Calibration may be performed by a GER device by including accurate voltage references in local memory. Further, the calibration process may be performed by an onboard processor on a regular or irregular basis, or on other terms as desired.
It should be apparent that embodiments of the GER device may be configured for intelligent self-testing of a grid asset, and may provide notification of failure and estimated future failure. Embodiments of the GER device may follow one or more algorithms for closed-loop self-testing and sensing. The results of these algorithms may be used for compiling and delivering a “wellness” report to the utility or other monitoring authority. Internal monitoring capabilities may be linked to the automatic calibration of onboard voltage and current sensors. Also, calibration of onboard sensors may be achieved through voltage references stored in a GER device.
Distribution transformers may serve one end customer or multiple end customers. Embodiments of the GER device described herein may be used with one or more end customers or consumers. Interacting with a plurality of consumers raises challenges when using a one-to-one mapping architecture for customer-specific features. Typically, the voltage level supplied to each consumer from a single GER device will be similar, and a one-to-one communication link between the GER device and each consumer can be maintained. However, the current, or load, being drawn from each consumer though a GER device may vary at any given moment.
Embodiments of the GER device may be configured for measuring the current or load delivering to each of a plurality of consumers connected to a single GER device.
Renewable energy generation is increasing dramatically and its integration into the distribution grid presents several challenges for prior distribution grids. Inverters are historically used to couple the DC voltage generated to the AC distribution voltage. However, inverters are expensive and have short lifetimes, and also negatively affect the grid power quality. Utility knowledge and control of grid-tied consumer-owned DC generation sources is desirable for the utilities. Utility owned DC generation resources that are located within consumer premises also present several new business models to the utility.
Embodiments of the GER device may include a bi-directional DC connection port for receiving power from a DC generation source.
In embodiments of the GER device a bi-directional DC connection port, the port may include voltage sensing of the GER device and source/load side (A)V and (E)V. Embodiments may include current sensing in both poles (C)I. Embodiments may include Double Pole Single Throw (DPST) Switch capability on both sides. Some embodiments include a bridge rectifier function 1302 that may provide polarity protection. Embodiments may include a bi-directional DC/DC converter allowing current injection in both directions under control. Embodiments may also integrate power from consumer resources at a DC voltage, thereby negating harmonics that may have been otherwise introduced via a direct grid attachment.
Thus, embodiments of the GER device may provide flexibly, controlled, and safe attachment of DC sources and sinks for integration into the AC supply to the consumer. An internal DC bus may be used as a reference for DC input and output. Embodiments may include closed loop control of each individual DC source via voltage control and current sensing to proportional load between sources. A multitude of interlocking isolation switches may be included in some embodiments to control the direction of power flow. In such manners, inclusion of a DC-DC converter may negate harmonics that would have otherwise been introduced on the grid as a result of Device attachment.
Integration of energy storage, including but not limited to batteries, capacitors, flywheels and fuel cells, into a distribution grid may provide several benefits. Knowledge and control of these resources is central to a successful integration.
In the embodiment shown in
Peak shaving occurs when peaks of demand are flattened through the addition of stored energy as required. When applying peak shaving methods, an increase in load 1404 would normally affect the line power 1403, thus placing a generation burden on the utility. Embodiments of the GER device may monitor the load increase, and add power from the power storage device 1402 connected to DC power link 1406, to meet the temporary increase in load demand.
Momentary ride-through occurs when short duration outages are transparent to the consumer through use of the stored energy systems. When applying ride-through methods, the main AC power may be absent for a short period of time, i.e., line power 1403 may be 0. The normal result would be a loss of all power to the consumer. However, in embodiments of the GER device configured to perform momentary ride-through methods, the GER device 1401 may sense the line power 1403 in real time, and adds DC power 1407 from power storage device 1402 to meet the temporary load 1404 requirement. The momentary outage would be transparent to the consumer up, assuming the power storage device 1402 was capable of supplying the required load. In some embodiments, a GER device may be configured for connection to more than one power storage device 1402. Ride-through capabilities may be coupled with one or more load negotiation algorithms as described above, lowering the load requirement 1404 and increasing the time that outages can be stopped from affecting the consumer load 1404.
The size of the storage may be approximately calculated by:
Time (h) = Battery Capacity (Ah) x (Battery Voltage (V) / (Load (W) x 1/Power Factor))
Embodiments of the GER device may be configured to perform one or more methods to sense load demands and/or generation instability, and seamlessly compensate either through a connected source of energy storage. Embodiments of the GER device may include one or more DC bi-directional ports to connect and integrate energy storage capability. As described above, embodiments of the GER device may be configured to perform one or more load negotiation algorithms to decrease load requirement in certain instances.
Embodiments of the GER device may also be configured to provide power to one or more additional DC loads. For instance, one or more DC ports of a GER device may be used to supply energy to DC loads such as electrical vehicle chargers or other DC power supply systems.
Based on the maximum load required from the DC port 1507, and the AC Load (e.g., Load 1 and Load 2 in
For example, the GER device may be configured to use an algorithm for maintaining the relationship Pvr = (Pt x Pp) - Pdc, where:
For example, assume a Total Rated Power at 50 kW, a percentage of total power processed at 10%, power processed at 5 kW, and a DC Load Running at 3 kW. A GER device using an algorithm would determine that the remaining power for voltage regulation is = 5 kVA - 3 kW = 2 kW.
In some embodiments, the software control algorithm may continually maintain knowledge of the DC load 1508, and hence remaining power for the AC voltage regulation, and may set maximum performance ratings accordingly. If a central power stage is upgraded to process 20% of the total system power, for example, then more power may available for sharing between the SDC load and AC voltage regulation.
By incorporating a DC stage 1502 and a DC-to-DC converter and interface 1507, embodiments of the GER device may be configured to employ methods to simultaneously provide power and satisfy both AC and DC load demands simultaneously. Embodiments of the GER device may also be configured to employ one or more algorithms to effectively balance the distribution of power between simultaneously connected AC and DC loads.
Embodiments of the GER device may be configured to monitor various parameters relating to the health and operation of other local electrical infrastructure components, including as an example a distribution transformer providing a power source to the GER device.
As the GER device 1601 may be physically installed or located at the edge of a distribution grid (e.g., downstream of a power substation, on a pole or pad close to the consumer), the GER device 1601 is at an ideal location to conduct smart monitoring services for other grid infrastructure components, including otherwise non-intelligent co-located devices. Devices such as the distribution transformer itself 1604, and other grid assets 1605a-1605c, such as, for example, lightning arresters, fuse cutouts, line voltage regulators, capacitor banks, re-closers and air break switches, lack onboard intelligence and communications to link with a utility central a management agent. Incorporating intelligence within each of these devices 1604 and 1605a-1605c, would be cost-prohibitive and a large industry undertaking. An alternative is to retrofit such assets to sense status (I/F), and would be more reasonable value proposition to utilities. This enables utilities to monitor troublesome existing equipment through a retrofit-able solution. Embodiments of a GER device 1601 may be configured to collect status information and other data from such local equipment 1604 and 1605a-1605c. The GER device 1601 may connect to such other components through a number of methods, including plug-in sensing cables 1606 or local RF links, for example. The GER device 1601 may collect and analyze the status of local devices, and may transmit data and/or analysis to a utility central management agent 1603, such as substation. Through this method of local collection, processing, and collating of data, many local devices 1604 and 1605a-1605c may be linked to the distribution grid more efficiently, without requiring a significant increase in communications traffic across the grid.
In some embodiments, one or more sensors, capable of retrofit, may be attached to pre-existing, or installed, electrical equipment. Such sensors may communicate chosen parameters to one or more GER devices through any communications path, such as a physical link or radio link. Embodiments of the GER device may accommodate a variety of add-on localized sensory. Embodiments of the GER device may be configured to employ internal algorithms to process and/or communicate information from the sensors to utility management. Integration of local grid asset status data based on consumer, feeder segment or full feeder allocation may reduce communications traffic, and offers geographically relevant summarized status data to the utility management.
Voltage regulation is an important element of distribution grid management. Conservation Voltage Reduction (CVR) is one method for voltage regulation and management. In CVR methods, the utility reduces the voltage at a substation, and then boosts the voltage as needed along the feeder circuits to ultimately to save energy. In order to implement energy savings, a flatter voltage profile within the distribution network is extremely beneficial.
As shown in
Embodiments of the GER device may provide a dynamically controllable voltage set point that can be set from a remote location, such as the utility central management agent or a local controller in a micro-grid scenario. Using real time clock features and internal processing, the GER device may also provide a time-scheduled voltage profile, with or without external control. This time scheduled profile can in turn be adjusted by past load characteristics and heuristics algorithms.
In comparison to traditional voltage optimization methods, architectures employing embodiments of the GER device save significantly more power. The unique topology including multiple GER devices allows the feeder voltage profile to be essentially flat. This enables the next generation of conservation voltage reduction programs.
Another component of voltage management involves the increasing number of photovoltaic installations within the feeder networks. Consumers requesting to grid-tie such PV devices create a problem for what may otherwise be a balanced distribution feeder. In order to back-feed unused power onto the grid, the voltage potential of the consumer must be higher than the output of distribution transformer. The PV creates a location, or pocket, of higher potential (voltage), whereas there is then no control over the PV’s decision to adjust voltage to all other connected loads. Embodiments of the GER device may include a switching mechanism to allow for momentary unused power to have a higher potential so that it is effectively shared with other consumers connected to that GER device. Furthermore, these points of fluctuation on the distribution feeder create an unbalance at a point within the feeder and an unexpected variation in the voltage level at a point unpredictable by the electric utility, which may cause other customers to experience voltage levels outside of the allowable range. Ensuring a constant voltage to the consumer is valuable because utilities are required to keep voltage within a range. Embodiments of a GER device may be configured to maintain a constant voltage to the consumer, as described elsewhere herein.
Thus, embodiments of the GER device may actively monitor and adjusts voltage to enable energy savings and integration of DC-based devices. Closed-loop feedback to the GER device may enable auto-correcting voltage to a dynamically-adjustable set point, regardless of external electrical conditions. Voltage management circuitry including in embodiments of the GER device may be configured for adjustment from an internal command or algorithm. Embodiments of the GER device may be configured to employ one or more integrated algorithms to control voltage management components within GER device, allowing for nearly instantaneous adjustment of voltage based on onboard sensor feedback. Embodiments of the GER device may be configured for use in active voltage management of photovoltaic connection points that allows for unused power flow to be shared with other consumers connected to the GER device, yet not affect the distribution feeder. Similarly, embodiments of a GER device may apply one or more voltage management schemes to provide one or more consumers with a constant voltage. Further, a grid topology including a number of GER devices within an electrical distribution feeder may enable the feeder voltage profile to nearly be flat from the substation to endpoint.
Managing reactive loads is important in distribution grid management. Reactive power is generally caused by capacitive and inductive impedances in the consumer load. In other words, the reactive power is caused by the current draw of a load being out of phase by some degree to the voltage draw. It creates a reactive power component within the distribution network that is generally not revenue bearing. This reactive component is also often a result of active voltage management devices.
As shown in
In the embodiment shown in
One of ordinary skill in the art should appreciate that embodiments of the GER device 1846 may inject reactive power, which may be decoupled from voltage management through the system architecture and/or managed through algorithms.
The active VAR management may, in some embodiments, be decoupled from voltage management. VAR management may be conducted through a fixed component, controllable component, or combination of the two. Management of VAR may occur locally or remotely, such as through a set point that may be defined in terms of a power factor. VAR management circuitry within the GER device may be adjusted by an internal command or algorithm. Example circuits and algorithms are described in co-pending U.S. Applications Serial Nos. 14/310,963 and 14/310,987, the contents of which are incorporated by reference in their entirety. An integrated algorithm controlling VAR management components may be included in embodiments of the GER device that allows for nearly instantaneous adjustment of reactive power based on, for example, onboard sensor feedback. Some embodiments may include a topology involving multiple GER devices within an electrical distribution grid to enable the reactive power component within the grid to be reduced or eliminated.
When AC devices are combined, the frequency of each component needs to be in synchronization, as a small phase difference will result in varying power as the AC sources go in and out of phase. Lack of synchronization presents notable problem for combining power sources in the utility distribution grid. Embodiments of the GER device may be configured to synchronize frequency from more than one power source.
As shown in
There are an increasing number of assets being inserted into the distribution grid, and many of those assets may communicate independently of other assets. Embodiments of the GER device may be configured for supporting or creating a communication network providing communication through one or more communications services. The GER device installation location provides for a topology as the center of an extensive communications network. When configured to combine and route communication, embodiments of the GER device may spare bandwidth, and some embodiments of the GER device may provide higher bandwidths.
One of ordinary skill in the art should appreciate that embodiments of the GER device may be incorporated into various grid network communications topologies. For example, the topology shown in
The increased complexity of the distribution grid and assets will create unforeseen operational scenarios, making safety monitoring an important element of distribution grid management. Embodiments of the GER device may be configured to include multiple layers of safety protection and that allow the GER device to fail safely.
In the exemplar algorithm in
Multi-layer protection, such as the algorithm shown in
Embodiments of the GER device may be configured for partial or complete internal bypass, whereby the GER device removes itself from the circuit in predetermined situations, such as if a fully safe operational state is not possible.
Implementation of multilayer safety protocols, such as the algorithm shown in
The broad range of environments in which GER devices may be employed raises the importance of internal thermal management. Generally, internal thermal management is a useful indicator of a GER device’s health.
As shown in
Embodiments of the GER device may use multiple methods to manage excessive system temperatures. For example, active cooling may be used, such as described with respect to
Software de-rating of performance may be based on ambient temperature. Extremes in operating temperature generally do not damage power electronics, but may limit the functional power range of a GER device. Through the use of internal temperature monitoring and intelligent control of the power stage, such as through the exemplar method shown in
Embodiments of the GER device may also include one or more external heat sinks, such as shown in
The pad mount enclosure shown in
As described above, embodiments may use internal GER device temperature monitoring in an algorithm that intelligently controls the GER device power stage. Controlling the power stage may also involve de-rating GER device performance based on the temperature conditions. Also, placement of power stage heat sinks on the underside of pole-mounted GER devices may limit solar loading. Some embodiments may use distribution lines and/or ground connection cabling as a thermal dissipation routes. Pad-mounted embodiments may use earth thermal capacitor cooling methods as an additional thermal dissipation route. Embodiments may also use thermally conductive but electrically isolating clamps.
Embodiments of the GER device may incorporate high-voltage to low-voltage conversion functionality. Depending on the conversion size, such embodiments may eliminate the distribution transformer.
The integrated high voltage to low voltage capability 2402 may be packaged within an existing distribution transformer enclosure footprint with a connection strategy similar to existing transformer. This approach has the potential to reduce the learning curve associated with installers learning new installation methods.
The voltage converter functionality may magnify the heat generated by a GER device. Embodiments of the GER device may be configured for advanced cooling structures, such as the structures shown in
The voltage conversion functionality in some embodiments of the GER device may necessitate one or more methods for managing and metering the bidirectional power flow from distributed power generation devices. Historically, metering power generation devices has been completed through a concept referred to as “net metering,” which merely provides an estimate of power being returned to the distribution grid from a localized generation source. In most current distribution grids, excess power that is fed to the distribution grid from the consumers’ premises stays on the secondary side of the distribution transformer, benefitting only homes connected to the same transformer. In some embodiments of the GER device, power from a power generation device, such as a consumer’s photovoltaic cell or another generation device attached to the grid, may be routed by a GER device to one or more other destinations on the grid.
Embodiments of the GER device may be coupled with a high-voltage to low-voltage conversion function with other capabilities as described herein. Including high-low voltage conversion in an embodiment of a GER device allows for the capability to bi-directionally flow power onto the distribution grid to consumers within the distribution feeder (i.e. flow of power from the secondary, or low voltage consumer side to the primary side, or high voltage utility distribution network side), as opposed to only those connected to the transformer where a generation source is present. Embodiments of the GER device may be configured to employ circuitry and one or more integrated algorithms or methods to enable the bidirectional flow of power.
Attaching new-to-market grid assets, renewable sources and loads, and consumer-purchased devices, all introduce undesirable harmonics into the distribution grid. These harmonics reduce the effectiveness of power delivery within the grid and shorten the life of both utility-owned and consumer equipment. Embodiments of the GER device may be configured with circuitry to manage a range of harmonics, including minimizing GER device-generated harmonics and filtering and isolating harmonics generated by other assets.
A central DC stage 2609 may be used in a GER device to assist harmonic isolation. Embodiments of a GER device may use integrated circuitry such as shown in
Broad scale outages will likely occur in a distribution grid. In restoring electrical service to consumers after a broad scale outage, utilities typically restore power to consumers in a controlled, sequenced, and graduated manner. Such restoration protocols help avoid the detrimental in-rush current effects, irregular demands on generation capabilities, and potential damage to utility equipment. The power market refers to such restoration of power as a “cold start,” and historically cold starts have been manually controlled.
Embodiments of the GER device may be configured to operate protocols for restoring power distribution via cold start protocols. Such protocols may call for resumption of power distribution to consumers in a staggered and/or sequenced manner.
In the exemplar protocol shown in
In some embodiments, the time pause before power restoration may be preset by another source, such as, for example, a utility or other end user, a central management agent, or another GER device within a common micro-grid. In some embodiments, the cold start protocol may be configured for use and/or combined with cooperative load management techniques and protocols discussed elsewhere herein, to provide an even smoother power restoration.
Embodiments of the GER device may include embedded intelligence, i.e., one or more protocols, configured to enable random, deliberate, sequential, and/or timed resumption of power delivery. One or more algorithms and/or random number generator may be used to delay power delivery or restoration to a set of connected consumers for the purpose of demand smoothing. Embodiments of the GER device may be configured to inhibit and control power flow to a consumer based on one or more conditions and/or protocols, even if power is available through the GER device’s input terminals.
The GER device installation location creates an opportunity to complement the traditional electric utility service of electricity delivery and power management. Embodiments of the GER device may include one or more of additional onboard computing capabilities, communications, and GPS services, may be used for additional purposes. Furthermore, embodiments of the GER device may include outer enclosures having the capability to include additional equipment. This flexibility allows for end users such as electric utilities to diversify the scope and features of service delivery to consumers, recoup the cost of installation through partnering with third-party service providers that may benefit from a valuable topology, and/or defer the cost of installation to a third-party service provider (to name a few examples of possible configurations). Examples of services that may be integrated include, but are not limited to, cellular repeaters, weather sensing and mapping, barometric pressure sensors and/or other sensors to pinpoint storm tracking; surveillance; EMS communications; DOT and traffic control. Services may be correlated with other onboard communications capabilities, or operated independently.
One of ordinary skill in the art should appreciate that a wide variety of additional and, in many instances, non-traditional, electric utility services may be incorporated into embodiments of the GER device. These services allow end users to maximize the use of the many topologies that may be created through installation of GER devices, within the electric utility distribution grid. Integration of additional sensory capabilities, such as barometric pressure, sound, and video, and/or cellular hardware provides numerous options for diversifying the services provided by embodiments of the GER device.
Embodiments of the GER device may perform power management and utility-service capabilities through various internal circuit and layer calibrations and configurations, direct commands from one or more of an end user, such as a utility, a central management agent, and a micro-grid controller or other GER device, and/or one or more internally loaded rules and algorithms, for example. The large number of potential internal and attached sensor inputs allow for many of a GER device’s operational rules and algorithms to be replaced, revised, and updated over time. Embodiments of the GER device may also employ one or more learning or heuristic methods to modify operational rules and algorithms. A GER device’s system heuristics may use data from that GER device, and may use data from other GER devices (such as in a micro-grid, for example). One of ordinary skill in the art should appreciate that processor and data storage components in a GER device may include the capability to receive, track, and analyze various data, then apply one or more algorithms to enable the GER device to make educated decisions regarding various features and functions, such as power management, for example. Heuristic algorithms may be monitored, controlled, and/or adjusted through a GER device control through, for example, a central management agent or micro-grid controller.
The functionality of the GER device may be expanded in situations when more than one GER device is installed in a distribution grid. Embodiments of the GER device may be configured to interact with and act in cooperation with one or more other GER devices. For instance, GER devices may communicate with each other to share information, data, etc. GER devices may also be configured to form localized micro-grids. A micro-grid may include one or more GER devices, in communication with each other. Micro-grids may be formed automatically, such as if more than one GER device is within a specified distance from another GER device or in the same geographical region. Alternatively, micro-grids may be formed under command or automatically upon various external events.
A micro-grid may include more than one GER device, such as two or more GER devices on the same feeder circuit. GER devices in a micro-grid may be sequential to each other along a section of a feeder circuit. A micro-grid may form a shared communications infrastructure, in which multiple PHY-layer protocols including but not limited to Wi-Fi, Wi-Max, cellular, power-line-carrier. A micro-grid may further include a common messaging layer, allowing device-to-device communications between GER devices in the same micro-grid (or other arrangements of GER devices). Micro-grids may also provide or generate a unique identification scheme through which each GER device may be identified. A GER device may be part of one or more micro-grids.
Upon a central command, power outage or reduction in capability of the distribution grid, preserving energy is a high priority. This can be accomplished through to the active control of loads and available energy sources. To enable this, Devices in an isolated section of a feeder with communication capabilities still functional will form an organized group to optimize use of available energy sources and control of attached load. Within the market, this group of local resources is generally referred to as a Micro Grid and the loss of a centralized power source introduces a situation referred to as islanding.
Embodiments of the GER device may be configured to use algorithms that, upon the occurrence of one or more predefined grid events, the GER device enters into a “grid formation” mode. The GER device may then poll for local GER devices in an attempt to form a micro-grid with other GER devices in a common area, for example. Micro-grids may be formed among GER devices based on more than location. For instance, a micro-grid may be formed among GER devices with a common set of features (e.g., all GER devices in a micro-grid include voltage management or surveillance capabilities). As another example, a micro-grid may be formed between GER devices with a shared local communications link; such as Wi-Fi, ZigBee or another local RF system, a cabled network, or a virtual network formed at a higher layer on a broader communications network such as cellular WAN. As another example, a micro-grid can be formed by type of customer (e.g. residential, senior living center, grocery center, gas stations) and/or geographical area.
Micro-grid formation and operation may be accomplished through one or more algorithms, as should be appreciated by one of ordinary skill in the art. Alternatively, these algorithms can be combined as would be evident to one of ordinary skill in the art.
When a GER device is in Grid Formation Mode, it may then signal the event to one or more other GER devices S2903, and wait for responses. Responses may indicate the state of other GER devices. In some embodiments, the GER device may continue in normal operation mode while listening of other GER devices. One another GER device has been identified, the protocol in
A micro-grid may include one or more GER devices identified as a master device, and one or more GER devices identified as a slave device. A master device may be given certain responsibilities, capabilities, etc., and/or serve as a primary point of communication for other micro-grids, a utility, or other end user, for example. A slave device may depend on a master device for one or more services or instructions, such as when to delivery power, when to cold start, etc. Numerous methods may be used to identify master and slave devices. For example,
As shown in
For example, after a master device is identified S3005, slave devices may enter a mode S3008 whereby communications from the master device are relayed as necessary, and one or more actions of slave devices are performed by command of the master. As another example, master and slave devices may update their individual grid databases accordingly. As more GER devices interact with the master device, a negotiation algorithm, such as the exemplar algorithm shown in
The maximum number of micro-grid members can be defined by a pre-defined parameter or controlled by external circumstances such as available generation and storage assets.
After formation of a micro-grid, the GER devices in the micro-grid may begin grid operations. Grid operations may be in addition to one or more ongoing or normal GER device operations. A micro-grid may include one or more grid operation algorithms. One of ordinary skill in the art should appreciate that numerous grid operations protocols are possible, depending on the nature, purpose, and responsibility of the micro-grid.
If a GER device is a slave device in the micro-grid, then the slave device may determine whether a master device has sent a message S3103. The message may include a polling message, data, instructions, etc. If the message includes or is a polling message S3104, then the slave device may provide its status to the master device S3105. Providing status to a master device S3105 may also include re-negotiating the master/slave relationship, if necessary. The grid operation may provide for dynamic grid reforming based on various circumstances, such as, for example only, a fault or authorized command. If the message includes a grid operation command S3106, then the salve GER device may process the command S3107. A command may be, for example, directions for power routing and distribution. A command may be, for example, a sequenced cold-start for consumers receiving power from GER devices on the micro-grid. One of ordinary skill in the art should appreciate that a grid operation command may include a wide variety of instructions, based on, for example, the purpose of the micro-grid, current operating conditions, instructions from a central agent, etc. The exemplar algorithm shown in
A micro-grid may provide numerous additional services to the utility, consumers, and third parties. For example, a micro-grid may be given the capability of sharing communications capabilities between members. For example, one GER device in a micro-grid may be used to boost communications signals from another GER device in the same micro-grid. As another example, a single GER device may receive messages or other data from multiple GER devices, compile and then deliver such data. As a result, a micro-grid may be used to reduce overall communications traffic. As another example, a micro-grid may be used to locally manage one or more GER devices, such as, for example, during periods when communications to the central management agent or other authority are lost, for instance, as a result of fault or deprioritizing.
In some embodiments, after GER devices form a micro-grid, one or more member GER devices may form or update a membership database. The membership database may include a variety of information, including for example only, identification of master and slave devices, features and functionalities on one or more GER devices in the micro-grid, and what communications links are available between members of the Micro-Grid and to any central management agent or other authority. In some embodiments, member GER devices may use a high level message passing scheme. The message passing scheme may be in addition to, part of, and/or independent of, physical layer communications link types. For example, when a member GER device seeks to send a message to the central management agent, but does not have a direct link to the agent, that GER device may use a membership database to determine a communications route through the micro-grid, to the central management agent (or other intended recipient). Destination, route, and source information may be encapsulated in the message, such that any intervening GER devices may determine whether the message is intended for that GER device, or instead requires relaying along a route. In a similar fashion, when any central management agent or other authority seeks to send a message to a member GER device, but has no direct communications link to that GER device, then the agent may use a membership database to select a route for relaying the message between other GER devices on the micro-grid to the targeted GER device. In some embodiments, a GER device may receive a message and a recipient, and determine a communications route to deliver the message. In some embodiments, a grid protocol may include instructions for delivering a message to a targeted GER device, which may include determining a communications route. These methods may constitute a physical layer agnostic routing scheme based on high level message passing.
In some embodiments, messages passed between micro-grid members may contain an indication of priority. The priority may include multiple levels, such that during reduced communications capability, a micro-grid (or an individual GER device) may prioritize passing of certain messages over others. In some embodiments, a grid protocol may include a store-and-forward system for low priority messages. Such messages may be stored and transmitted after communications capabilities improve, for example. Some messages may be deemed unimportant and deleted, based on factors such as message priority, internal storage space, and time.
As another example, central utility management entity 3202 may transmit Message A with the goal of GER devices 3204b and 3204c receiving the message. Master GER device 3203 may receive Message A, and transmit Message A to GER device 3204c. GER device 3204c may determine that Message A should also be transmitted to GER device 3204b, based on, for example only, instructions in Message A, additional instructions from master GER device 3203, or another grid protocol. Message A may include information instructing GER device 3204c to send Message B to a consumer location, such as customer premises 3205. Alternatively, central utility management entity 3202 may have a separate communications link with customer premises 3205, and may use that link to route Message B to GER device 3204c. One of ordinary skill in the art should appreciate that the communications routes shown in
In some embodiments, a GER device may include data storage 3208 that may be used for storing messages, data, and instructions. Database 3208 may retain messages and data during communications outages, for subsequent transmission. For example, if a communications path to the utility central management entity 3202 is unavailable, or if a direct communications path is not available, then database 3208 may store messages and data for later retrieval or transmission. Alternatively, if a separate utility-to-consumer communications path is present, then a GER device may utilize commercially available communications channels in order to communicate with central utility management entity 3202. As shown in
One of ordinary skill in the art should appreciate that micro-grids may be used to centralize data among GER devices, and as a result save communications bandwidth, and/or provide for continued communications in the event of a loss of communications with a central utility management entity 3202 or other authority. Embodiments may be configured to operate protocols to establish of alternative communication routes. Alternative communications routes may include consumer-owned equipment and consumer-purchased services, for example. Some embodiments may permit the ad-hoc establishment of a peer-to-peer, message passing, communications networking scheme or schemes, between members of a micro-grid. Communications schemes may be agnostic of physical communications links. Communications between GER devices, a central utility management entity, and/or other distribution grid entities may include embedded source, destination, and priority information. Such information may be embedded in high level messages to allow message relaying the message and/or data to target destinations. Embodiments may include protocols for delaying and/or dropping lower priority messages in favor of higher priority ones.
Embodiments of a micro-grid may be configured to use one or more protocols for power load and supply management. For instance, a micro-grid may employ protocols to optimize source-to-load ratio. As an example, a micro-grid may form because of a reduction of a distribution grid’s capability. In such a situation, it may become critical to optimize the source-to-load ratio. Part of the optimization may involve assessing available resources and demands, and prioritizing distribution, services, and other elements based on one or more factors, such as consumer need, emergency operation, and ultimate consequence.
Micro-grid 3301, and/or the individual GER devices that form micro-grid 3301, may operate one or more protocols for load and supply management. For example, upon power distribution outage, each GER device in a micro-grid may communicate with consumers to determine current and expected load (Load Negotiation 1-4). GER devices may then report to the master GER device 3302 what load reduction capabilities are available (Message A, B and C). The master GER device 3302 may use commands from the central utility management entity 3302 (Message D), and/or its other rules and algorithms, to coordinate load reduction and power restoration commands/requests (Message A, B and C). Protocols for load management may include a number of different techniques for managing the service, as one of ordinary skill in the art should appreciate. For example, master GER device 3302 may require some slave GER devices 3304a-3304c to eliminate power to their respective consumers. Alternatively, one or more GER devices may be instructed to minimize load, or initiate one or more load management protocols, such as shown in
A Micro-grid, or GER devices in a micro-grid, may be configured to perform a polling method to determine available power resources. Available power sources may include diminished power from a distribution grid, power storage units, and power-generation units, for example. Embodiments of a polling method may determine load demands by consumers relying on GER devices in the micro-grid. One of ordinary skill in the art should recognize that numerous prioritization algorithms may be used to calculate available power and evaluate the most critical power needs. Such algorithms may be preprogramed, re-flashed (by, for example, a central management agent), or generated by a GER device.
Embodiments of the GER device may be configured to use rules and algorithms stored in a database 3303 of one or more GER devices. The database 3303 may include rules and algorithms developed prior to installation, and rules and algorithms updated, revised, or added during operation. Such rules and algorithms may be updated and revised based on, for example, system heuristics, modelling, utility procedures, and external conditions. The grid rules and algorithms may be coordinated by the micro-grid, a central authority, a GER device, or a combination thereof.
In some embodiments, after micro-grid formation, a GER device, such as a master GER device 3302, may implement grid management using a set of rules and/or algorithms 3302. Grid rules and algorithms may be updated and revised as needed, such as by a central management authority, or a GER device. For example, GER devices may update grid rules and algorithms through a download implemented over a communications link. The update may be triggered by, for example, conditions that dictate a change in the micro-grid behavior. The update or revisions may be specific to a micro-grid, or applicable to all or a subset of GER devices in a distribution grid. One of ordinary skill in the art should appreciate that there are numerous methods for providing updates to grid rules and algorithms. A GER device may report grid rules and algorithms implemented at a micro-grid level to the utility central management system. The report may be at a higher level of control/reporting than usual without grid formation, if, for example, communication is available. Grid rules and algorithms may be updated by the utility central management system as appropriate. In some embodiments, a designated GER device, such as a master GER device, may collect status information and other data from GER devices in a micro-grid. In some embodiments, a GER device may collect data from other attached/monitor devices for reporting to the utility central management system.
If a Grid is, alternatively, operating independently (i.e. not under central utility management system control), that grid may be controlled via any and all user interfaces of the Master Device (UI Message) to override internal Master embedded algorithms/rules (Grid Rules and Algorithms Sub-Set). The embedded rules/algorithms can be updated at any time by the central management agent but if the link to that agent is down then the latest set are used by the Master Device.
One of ordinary skill in the art should appreciate that micro-grids may be used for continued implementation of utility operating algorithms, even after communication loss with a central management agent, and also during normal operation. Updated or revised algorithms for grid management may be distributed through smaller independent algorithms, to be implemented at the grid edge. Management of a distribution grid at the grid edge may include communication between GER devices and a central management agent. Messages may include high information content, but at lower frequency and/or bandwidth, as appropriate for the particular communication. Further, authorized end users, such as utility personnel, may manage GER devices and/or micro-grids through a user interface included in, or attached to, one or more GER devices.
As will be appreciated by one of skill in the art, aspects or portions of the present approach may be embodied as a method, system, and at least in part, on a computer readable medium. Accordingly, the present approach may take the form of combination of hardware and software embodiments (including firmware, resident software, micro-code, etc.) or an embodiment combining software and hardware aspects that may all generally be referred to herein as a “circuit,” “module” or “system.” For example, measurements and subsequent calculations can be automated, using one or more software modules to characterize the device, record resistance changes, calculate deflections, calculate device temperature, and/or calculate rate of heat accumulation or exchange. Furthermore, the present approach may take the form of a computer program product on a computer readable medium having computer-usable program code embodied in the medium. The present approach might also take the form of a combination of such a computer program product with one or more devices, such as a modular sensor brick, systems relating to communications, control, an integrate remote control component, etc.
Any suitable non-transitory computer readable medium may be utilized. The computer-usable or computer-readable medium may be, for example but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, device, or propagation medium. More specific examples (a non-exhaustive list) of the non-transitory computer-readable medium would include the following: a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a device accessed via a network, such as the Internet or an intranet, or a magnetic storage device. Note that the computer-usable or computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted, or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory. In the context of this document, a computer-usable or computer-readable medium may be any non-transitory medium that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
Computer program code for carrying out operations of the present approach may be written in an object oriented programming language such as Java, C++, etc. However, the computer program code for carrying out operations of the present approach may also be written in conventional procedural programming languages, such as the “C” programming language or similar programming languages. The program code may execute entirely on the user’s computer, partly on the user’s computer, as a stand-alone software package, partly on the user’s computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user’s computer through a local area network (LAN) or a wide area network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet Service Provider).
The present approach is described with reference to illustrations and/or diagrams of methods, apparatus (systems) and computer program outputs according to embodiments of the approach. It will be understood that the steps described above, and the outputs, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
These computer program instructions may also be stored in a non-transitory computer-readable memory, including a networked or cloud accessible memory, that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to specially configure it to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
Any prompts associated with the present approach may be presented and responded to via a graphical user interface (GUI) presented on the display of the mobile communications device or the like. Prompts may also be audible, vibrating, etc.
One of ordinary skill should understand that the above description and the Figures illustrate the architecture, functionality, and operation of possible implementations of devices, systems, methods, and computer program products according to various embodiments of the present approach. In this regard, each step in the disclosed embodiments and each calculation and output may represent a block, module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions in a block may occur out of the order noted in the figures. For example, two blocks in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block, and combinations of blocks in, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the approach. As used herein, the singular forms “a,” “an,” and “the,” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises” and/or “comprising,” when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
While the foregoing description references certain preferred embodiments, other embodiments are possible. Additionally, the foregoing illustrative embodiments, examples, features, advantages, and attendant advantages are not meant to be limiting, as the devices, systems, and methods disclosed herein may be practiced according to various alternative embodiments, as well as without necessarily providing, for example, one or more of the features, advantages, and attendant advantages that may be provided by the foregoing illustrative embodiments.
Accordingly, while devices, systems, and methods have been described and illustrated in connection with preferred embodiments, many variations and modifications as will be evident to those skilled in the art may be made without departing from the scope of the present approach, and the claims should not be limited to the precise details of methodology or construction set forth above, as such variations and modifications are intended to be within the scope of the claims.
This application is a Continuation of U.S. Nonprovisional Application 17/033,016, filed Sep. 25, 2020, which claims the benefit of U.S. Nonprovisional Application 16/557,532, filed Aug. 30, 2019, now U.S. Pat. No. 10,892,641, which claims benefit of U.S. Nonprovisional Application 15/321,897, filed Dec. 23, 2016, now U.S. Pat. No. 10,439,432, which in turn claims the benefit of International Application PCT/US2015/22979, filed Mar. 27, 2015, which claims priority to U.S. Provisional Application No. 62/015,703 filed on Jun. 23, 2014, each of which is hereby incorporated in its entirety.
| Number | Date | Country | |
|---|---|---|---|
| 62015703 | Jun 2014 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | 17033016 | Sep 2020 | US |
| Child | 18197550 | US | |
| Parent | 16557532 | Aug 2019 | US |
| Child | 17033016 | US | |
| Parent | 15321897 | Dec 2016 | US |
| Child | 16557532 | US |
