Patent Application
20090228388
This application includes material which is subject to copyright protection. The copyright owner has no objection to the facsimile reproduction by anyone of the patent disclosure, as it appears in the Patent and Trademark Office files or records, but otherwise reserves all copyright rights whatsoever.
The present invention relates in general to the field of electric power distribution systems, and in particular to methods and systems for managing distribution through use of an aggregated demand stack to maintain price stability and maximize distribution efficiency, thereby maximizing net system benefits.
Deregulation of the bulk electric power market has led to the development of organized markets for electric power. Load Serving Entities (LSEs), for example, a local utility, bid for and sell electric power on a daily basis within a power grid administered by a Regional Transmission Organization (RTO) or an Independent System Operator (ISO), for example, CAISO in California.
Power within an RTO originates from multiple generation sources. Such power generators may be owned by an LSE within the RTO, or may be independently owned and operated by private concerns. Such generators may be in continuous operation, or they may be called upon only during periods of peak demand. The cost of generation varies from point to point, and typically when auxiliary generators are called into service the cost of generation increases.
An LSE will typically attempt to purchase power from the lowest cost source. The cost of electricity to a given LSE within an organized electricity market is the locational marginal price (LMP); this is the locational pricing system used by most RTOs and ISOs. Under LMP, the price at each location in the grid at any given time reflects the cost of making available an additional unit of energy for purchase at that location and time.
Until recently, demand for electricity has had a nearly perfectly inelastic nature in the short run, for practical reasons. Sending pricing signals was too expensive, and only for the largest consumers were the transaction costs low enough to warrant constant monitoring and action. The market realities therefore led to average pricing systems in order to eliminate the need for this constant monitoring and action.
However, as with any commodity, the elasticity of demand for electric power is not perfectly inelastic. At higher prices residential, commercial, and industrial consumers will consume less, either by substituting a different energy source or by simply conserving.
Improved measurement and verification technology would allow for a new level of cost-effective consumer participation in the real-time LMP market, so that consumers are not simply passive, but instead may have increased ability to determine their own valuations of using or not using energy at any point. Circuit-level value-based differentiation by the consumer can re-shape the demand curve from one that is nearly perfectly inelastic to one that has a kinked elastic tail for non-essential, lower value loads.
In one embodiment, the invention is a method for automated trading of electrical consumption. A plurality of demand bids for energy on a power grid from a plurality of consumers are received, over a network. Each demand bid comprises an identification of a consumer, a quantity of energy, an economic value of the bid, and one or more demand bid criteria. Data relating to the price of energy on the power grid is received over the network. It is then determined, using at least one computing device, if not servicing at least one of the demand bids will decrease the locational marginal price of energy on the power grid. An offer for compensation is then transmitted, over the network, to the load associated with demand bids, wherein the consumer receives the compensation if the consumer does not consume the energy related to the at least one of the demand bids.
In another embodiment, the invention is a system for automated trading of electrical consumption. The system comprises a plurality of consumer systems operatively connected to a network, wherein each of the consumer systems is configured to accept a plurality of demand bids for energy on a power grid from a consumer. Each demand bid comprises an identification of a consumer, a quantity of energy, an economic value of the bid, and one or more demand bid criteria. Each of the consumer systems are further configured to transmit the plurality of demand bids over the network. The system further comprises at least one control server operatively connected to the network, wherein the at least one control server is configured to receive the plurality of demand bids, and wherein the control server is further configured to receive, over the network, data relating to the price of energy on the power grid. The control server is further configured to determine, if not servicing at least one of the plurality of demand bids will decrease the locational marginal price of energy on the power grid, and to transmit, over the network, an offer for compensation to the consumer from which the at least one of the demand bids originated, wherein the consumer receives the compensation if the consumer does not consume the energy related to the at least one of the demand bids.
The foregoing and other objects, features, and advantages of the invention will be apparent from the following more particular description of preferred embodiments as illustrated in the accompanying drawings, in which reference characters refer to the same parts throughout the various views. The drawings are not necessarily to scale, emphasis instead being placed upon illustrating principles of the invention.
The present invention is described below with reference to block diagrams and operational illustrations of methods and devices to select and present media related to a specific topic. It is understood that each block of the block diagrams or operational illustrations, and combinations of blocks in the block diagrams or operational illustrations, can be implemented by means of analog or digital hardware and computer program instructions.
These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, ASIC, or other programmable data processing apparatus, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, implements the functions/acts specified in the block diagrams or operational block or blocks.
In some alternate implementations, the functions/acts noted in the blocks can occur out of the order noted in the operational illustrations. For example, two blocks shown in succession can in fact be executed substantially concurrently or the blocks can sometimes be executed in the reverse order, depending upon the functionality/acts involved.
For the purposes of this disclosure the term “server” should be understood to refer to a service point which provides processing, database, and communication facilities. By way of example, and not limitation, the term “server” can refer to a single, physical processor with associated communications and data storage and database facilities, or it can refer to a networked or clustered complex of processors and associated network and storage devices, as well as operating software and one or more database systems and applications software which support the services provided by the server.
For the purposes of this disclosure, a computer readable medium stores computer data in machine readable form. By way of example, and not limitation, a computer readable medium can comprise computer storage media and communication media. Computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules or other data. Computer storage media includes, but is not limited to, RAM, ROM, EPROM, EEPROM, flash memory or other solid-state memory technology, CD-ROM, DVD, or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other mass storage devices, or any other medium which can be used to store the desired information and which can be accessed by the computer.
For the purposes of this disclosure a module is a software, hardware, or firmware (or combinations thereof) system, process or functionality, or component thereof, that performs or facilitates the processes, features, and/or functions described herein (with or without human interaction or augmentation). A module can include sub-modules. Software components of a module may be stored on a computer readable medium. Modules may be integral to one or more servers, or be loaded and executed by one or more servers. One or more modules may grouped into an engine or an application.
The trading platform system described herein allows end-users of electricity to input a value for a commodity, differentiated by all circuits under their control and the utility's operator's control thereby creating a demand stack. LSEs have ready access to information about power supply, including units and marginal costs of generation; the aggregation of this information generates a supply stack. The aggregation of the supply stack and demand stack data into a database permits the visualization of these two stacks in conjunction with retail energy rates. This allows for the system operator to move up the supply and demand stacks until an efficient level of consumption is reached.
Inefficient energy consumption can lead to congestion charges which can, inter alia, raise the LMP of power consumed by load points. Referring to
However, assume the transmission facilities from point A to point D have a physical (e.g. thermal) limit of 150 MW. Load point 230 requires 250 MWs. After obtaining 150 MW of power from the path A-D, the path is at capacity, and may be said to be congested. Load point 230 will be forced to obtain 100 MW of power from generation point 130 or 140 at a cost of $30/MWh. Thus, the LMP at load point 230 is $30/MWh. The congestion charge for the path A-D is thus $30/MWh−$15/MWh. If the congestion charges can be avoided, on the other hand, the LMP remains at $15/MWh.
If the elasticity of demand is great or if the marginal cost of an additional unit of demand that can be taken off the system is great, such as is typically the case in congested locations, it may make sense to pay to shed certain consumption that would have occurred under otherwise market-clearing prices, to the benefit of all remaining consumers under the LMP system. In this way economic benefit can be maximized and distributed to the advantage of all participants.
During periods in which wholesale LMPs are greater than the average retail price paid by consumers, it may be to the benefit of both LSEs and consumers for the LSE to pay consumers to reduce consumption. For example, in
The system is implemented such that there that there are consumers 210, 220 and 230 at every pricing location within a power grid controlled by the system. Consumer systems Advanced Demand Management (ADM) systems 410, 420, and 430, are installed at each consumer location. In one embodiment, the ADM systems 410, 420, and 430 can comprise general purpose computer systems or embedded computing devices running application-specific software. In one embodiment, the ADM systems are programmable systems capable of automatically scheduling and managing the use of specific transmission paths at a load point using user defined value parameters. In one embodiment, the ADMs 410, 420, and 430 provide capabilities that allow for measurement, control, and predictive capabilities (through learning algorithms) of circuit-level loads.
In one embodiment, the ADM systems 410, 420, and 430 provide a user interface that allow consumers to enter demand bids that each comprise an identification of a consumer, a quantity of energy, an economic value of the bid, and one or more demand bid criteria such as, for example, a time, a time range, differentiation from a given setpoint, or any other metric. In one embodiment, the user interface is provided on a display device directly connected to the ADM. In one embodiment, the user interface is provided via a network on a display device remote from the ADM. In one embodiment, the user interface is provided via a network, such as the Internet, on a website. In one embodiment, demand bids are differentiated by all circuits under the control of the ADM and the RTO or other LSE 300.
In one embodiment, the ADM systems 410, 420, and 430 are operatively connected to a control server 320 at the RTO 300 via a public network, such as the Internet or a public wireless network, or via a private network such as a WAN or private wireless network. The control server 320 comprise a cluster of one or more general purpose computer systems or embedded computing devices running application-specific software. The control server could also be implemented on a server owned and controlled by a third party, who is neither an LSE nor a consumer, who provides control services to RTOs, LSEs and or consumers.
In one embodiment, the control server 320 collects and stores information about available power supplies, including units and marginal costs of generation. The control server can use this information to generate a supply stack such as, for example, the supply stack 102 of
An LSE (such as the RTO) can use the visualized supply and demand stacks to manage consumption to enhance cost effectiveness of power consumption. For example, in order to determine which consumption should be shed, the LSE can pull from the demand stack those loads which are registered with the lowest value. In one embodiment, the LSE can actually pay the consumer for not servicing the load such that the net benefit to the consumer of not consuming is greater than the net benefit would have been from consuming, thereby increasing the consumer's utility in response to his decreasing his use of energy. The LSE's utility is increased due to the net value of not having to purchase the wholesale energy minus the lost revenues from the consumer minus the payment to that now non-consumer. All non-participant consumers benefit due to decreased revenue requirements for the RTO. They may also benefit from decreases in LMPs resulting from decreased quantity demanded.
The trading platform system can be used to seek to maximize the sum of consumer and utility surplus in times where wholesale LMPs are above retail rates by using algorithms to determine which loads should be pulled off the system, determining how much value this will create, and then using agreements between consumers and utilities to redistribute benefits. In one embodiment, the system may function with data from only one end-user, if an average-pricing model is employed for energy pricing. However, greater utility can be provided if values and loads are provided by multiple end-users.
Other value for the LSE is present as well even if the LMP does not drop. For example, referring to
For example, assume a customer places value of energy for his HVAC of $50/MWh. Were he to pay the cost to create and distribute this energy, he would pay more than $73/MWh 114. However, because of average pricing, he pays $42/MWh 106, and therefore receives a net benefit of $8/MWh from consumption. On the other hand, if the customer were to enter demand bid into the system for $50/MWh, upon visualizing demand and supply stacks, the RTO would be able to see that raising that customer's thermostat setting and reducing his demand would be beneficial to both parties, if, for example, the utility offered the consumer a rebate of $15/MWh to not use the energy at all.
The customer, who was previously $8/MWh better off by using the energy, now is $15/MWh better off by not using it, so he gains. The utility was losing $31/MWh by servicing this customer, but now loses only $15/MWh by not serving him, the cost of paying the customer not to consume. (This net benefit of $16/MWh for the utility and $7/MWh for the customer are realized at the expense of the generator, who sells less electricity, and potentially sells it at a lower rate.)
The above examples assumed average pricing scenarios. The present system and method can also be adapted to real-time pricing.
In
In such a case, the trading system can provide an incentive to the low value consumers to encourage them to reduce their use of power. For example, if the utility were to pay the consumers with a low net value of consumption ($7/MWh) to not use power, plus an additional $20/MWh for their trouble (which value may be determined, for example, algorithmically by the system), these consumers would be markedly better off by not consuming. All other consumers benefit as well, because now their cost of consumption has fallen without any active participation on their part.
In addition to these benefits, if enough customers are selected by the utility to participate in this process at any given time, and an energy generating unit (such as a power plant) which would otherwise have been required to be online is no longer needed, the marginal price of energy for all customers drops, providing value for all consumers, as described above. This phenomenon is especially the case in congested locations, in which the marginal price is set by local power plants. If use of these local units can be reduced due to load reductions behind the congestion, the congestion will decrease and the LMP for that location will drop.
Note that, in some energy markets, a consumer can offset the effect of congestion charges using Financial Transmission Rights (FTRs), which are rights to collect congestion charges on a given path. For example, referring back to
In one embodiment, the trading platform above could be adapted to gather and store data relating to power consumption, FTRs, and other transmission rights. In one embodiment, the trading platform can be configured to automatically bid on behalf of a load for FTRs. For example, if a load enters a demand bid into the trading platform for 150 MWh at $50/MWh, the trading platform could enter a bid on behalf of the load for FTRs at the desired price. In one embodiment, real-time automated bidding incorporates the functions of automated bidding, but can additionally implement real-time algorithms to capture real time price excursions if power is scheduled on a real-time or near-time basis (many RTO's schedule transmission hourly, so this feature may require enhancements in RTO power scheduling).
Such bidding could be performed at the RTO/LSE level, or could be executed by ADMs at a consumer location. In one embodiment of dynamic automated bidding, the system incorporates the functions of automated bidding, but additionally may respond to a dynamic signal from the RTO to keep congestion at or below a certain point, or to respond to rapid market price fluctuations.
Those skilled in the art will recognize that the methods and systems of the present disclosure may be implemented in many manners and as such are not to be limited by the foregoing exemplary embodiments and examples. In other words, functional elements being performed by single or multiple components, in various combinations of hardware and software or firmware, and individual functions, may be distributed among software applications at either the client level or server level or both. In this regard, any number of the features of the different embodiments described herein may be combined into single or multiple embodiments, and alternate embodiments having fewer than, or more than, all of the features described herein are possible. Functionality may also be, in whole or in part, distributed among multiple components, in manners now known or to become known. Thus, myriad software/hardware/firmware combinations are possible in achieving the functions, features, interfaces and preferences described herein. Moreover, the scope of the present disclosure covers conventionally known manners for carrying out the described features and functions and interfaces, as well as those variations and modifications that may be made to the hardware or software or firmware components described herein as would be understood by those skilled in the art now and hereafter.
Furthermore, the embodiments of methods presented and described as flowcharts in this disclosure are provided by way of example in order to provide a more complete understanding of the technology. The disclosed methods are not limited to the operations and logical flow presented herein. Alternative embodiments are contemplated in which the order of the various operations is altered and in which sub-operations described as being part of a larger operation are performed independently.
While various embodiments have been described for purposes of this disclosure, such embodiments should not be deemed to limit the teaching of this disclosure to those embodiments. Various changes and modifications may be made to the elements and operations described above to obtain a result that remains within the scope of the systems and processes described in this disclosure.
This application claims the benefit of U.S. Provisional Application No. 61/034,841, entitled “Method and System for Automated Trading of Electrical Consumption to Maximize Societal Benefits”, filed Mar. 7, 2008, the disclosure of which is herein incorporated by reference in its entirety. This application relates to the subject matter of U.S. patent application Ser. No. 12/118,644, entitled “Method and System for Scheduling The Discharge Of Distributed Power Storage Devices And For Levelizing Dispatch Participation”, filed May 9, 2008, U.S. patent application Ser. No. 11/968,941 entitled “Utility Console for Controlling Energy Resources” filed Jan. 3, 2008, U.S. Patent Application Serial Number 12210761 entitled “User Interface For Demand Side Energy Management” filed Sep. 15, 2008, and U.S. patent application Ser. No. 12/175,327 filed Jul. 17, 2008 entitled Method and System for Measurement and Control of Individual Circuits,” each of which is incorporated herein by reference in its entirety.
| Number | Date | Country | |
|---|---|---|---|
| 61034841 | Mar 2008 | US |
