(none)
This disclosure relates to protection of electric power delivery systems. More particularly, this disclosure relates to determining fault location in a non-homogeneous electric power line.
Non-limiting and non-exhaustive embodiments of the disclosure are described, including various embodiments of the disclosure with reference to the figures:
Electric power lines are widely used to transmit electric power over distances between electric power generation and electric power consumers, and include, for example, transmission and distribution lines and equipment. Power lines may cover great distances and may include different types of equipment, thus making the overall power line non-homogeneous. For example, the power line may include different conductor types, different tower configurations, different distances from the conductors to ground, and certain sections of the power line may be underground where other sections may be overhead. Thus, power lines are often non-homogeneous and made up of sections with different properties. As used herein, the term “non-homogeneous” refers to any electric power line comprising two or more sections having different properties.
Reference throughout this specification to “one embodiment” or “an embodiment” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. Thus, the appearance of the phrases “in one embodiment” or “in an embodiment” in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, an “embodiment” may be a system, a method, or a product of a process.
The phrases “connected to,” “networked,” and “in communication with” refer to any form of interaction between two or more entities, including mechanical, electrical, magnetic, and electromagnetic interactions. Two components may be connected to each other even though they are not in direct physical contact with each other and even though there may be intermediary devices between the two components.
Some of the infrastructure that can be used with embodiments disclosed herein is already available, such as: general-purpose computers, computer programming tools and techniques, digital storage media, and communications networks. A computer may include a processor such as a microprocessor, microcontroller, logic circuitry, or the like. The processor may include a special purpose processing device such as an ASIC, PAL, PLA, PLD, Field Programmable Gate Array, or other customized or programmable device. The computer may also include a computer readable storage device such as non-volatile memory, static RAM, dynamic RAM, ROM, CD-ROM, disk, tape, magnetic, optical, flash memory, or other computer-readable storage medium.
As used herein, the term IED may refer to any microprocessor-based device that monitors, controls, automates, and/or protects monitored equipment within the power system. Such devices may include, for example, remote terminal units, differential relays, distance relays, directional relays, feeder relays, overcurrent relays, voltage regulator controls, voltage relays, breaker failure relays, generator relays, motor relays, automation controllers, bay controllers, meters, recloser controls, communications processors, computing platforms, programmable logic controllers (PLCs), programmable automation controllers, input and output modules, and the like. IEDs may be connected to a network, and communication on the network may be facilitated by networking devices including but not limited to multiplexers, routers, hubs, gateways, firewalls, and switches, each of which may also be considered an IED. The networking devices may use a variety of physical media such as electrical, optical fiber or radio-wave connections. Furthermore, networking and communication devices may be incorporated in an IED or be in communication with an IED. The term IED may be used interchangeably to describe an individual IED or a system comprising multiple IEDs.
Aspects of certain embodiments described herein may be implemented as software modules or components. As used herein, a software module or component may include any type of computer instruction or computer executable code located within a computer-readable storage medium. A software module may, for instance, comprise one or more physical or logical blocks of computer instructions, which may be organized as a routine, program, object, component, data structure, etc., that performs one or more tasks or implements particular abstract data types.
In certain embodiments, a particular software module may comprise disparate instructions stored in different locations of a computer-readable storage medium, which together implement the described functionality of the module. Indeed, a module may comprise a single instruction or many instructions, and may be distributed over several different code sections, among different programs, and across several computer-readable storage media. Some embodiments may be practiced in a distributed computing environment where tasks are performed by a remote processing device linked through a communications network. In a distributed computing environment, software modules may be located in local and/or remote computer readable storage media. In addition, data being tied or rendered together in a database record may be resident in the same computer readable storage medium, or across several computer readable storage media, and may be linked together in fields of a record in a database across a network.
The software modules described herein tangibly embody a program, functions, and/or instructions that are executable by computer(s) to perform tasks as described herein. Suitable software, as applicable, may be readily provided by those of skill in the pertinent art(s) using the teachings presented herein and programming languages and tools, such as XML, Java, Pascal, C++, C, database languages, APIs, SDKs, assembly, firmware, microcode, and/or other languages and tools. Additionally, software, firmware, and hardware may be interchangeably used to implement a given function.
In the following description, numerous details are provided to give a thorough understanding of various embodiments. One skilled in the relevant art will recognize, however, that the embodiments disclosed herein can be practiced without one or more of the specific details, or with other methods, components, materials, etc. In other instances, well-known structures, materials, or operations are not shown or described in detail to avoid obscuring aspects of this disclosure.
Although
IEDs may be in electrical communication with an electric power system, such as the line 100 of
The negative-sequence network 200 illustrated in
Although
According to an embodiment, determining a fault location on a non-homogeneous line may include preparing profiles of a power line quantity from each terminal of the power line, and determining where the profiles cross. As mentioned above, the profiles may be formed from phase-domain quantities, Clarke components, symmetrical components, or the like. In one example, symmetrical component (such as negative-sequence voltage) magnitude profiles may be prepared by calculating negative-sequence voltage magnitudes as calculated from each terminal at a plurality of locations along the power line using power line information from each section.
Specifically, the symmetrical component magnitude profiles may be formed from symmetrical component quantity magnitudes calculated at various points along the electric power line, which are calculated using measurements obtained at each terminal of the power line and properties of each section. The points may be at predetermined locations, borders between sections, towers, access points, intervals, or the like. Equations 1-4 may be used to prepare a negative-sequence voltage magnitude profile in accordance with this example:
V2D
V2D
m=d/Lk Eq. (3)
d=D−Σi=1k−1Li Eq. (4)
where:
V2D
V2D
{right arrow over (V2)}X is a negative-sequence voltage calculated from measurements at terminal X;
{right arrow over (V2)}Y is a negative-sequence voltage calculated from measurements at terminal Y;
{right arrow over (I2)}X is a negative-sequence current calculated from measurements at terminal X;
{right arrow over (I2)}Y is a negative-sequence current calculated from measurements at terminal Y;
k denotes the section;
D is the point along the length of the line where the symmetrical component quantity is to be calculated;
d is the length along the section k where the symmetrical component quantity is to be calculated;
{right arrow over (Z2)}k is the negative-sequence impedance of section k; and
Lk is the length of section k.
Equations 1-4 may be solved for multiple points D along the power line to form the symmetrical component magnitude profiles calculated from measurements from terminal X and terminal Y. The symmetrical component magnitude profiles can then be used to determine which section includes the fault. That is, the section that includes the fault can be determined as the section in which the profiles cross or are equal. This can be accomplished by finding the point D where the symmetrical component magnitude profiles are the closest. Alternatively, this may be accomplished by finding two sequential points D that straddle the intersection of the profiles. That is, the two points satisfy both Equations 5 and 6:
V2D
V2D+1
The intersection point must be between D and D+1. Accordingly, the section including D and D+1 is the faulted section.
According to an embodiment, determining a fault location on a non-homogeneous line may include two steps, namely: 1) determining the faulted section; and 2) determining the fault location within the faulted section. Because the line is not homogeneous, the different properties of each section are considered when determining which section is faulted. The properties of the faulted section are used to calculate the location of the fault within the faulted section. By considering the properties of each section, fault location, as described herein, may be more accurate than calculating a fault location on a non-homogeneous line using the assumption that the line is homogeneous.
Determining the faulted section uses the properties of each of the sections along with the measured power system quantities taken at each terminal. These quantities are used to form a symmetrical component magnitude profile from measurements at each terminal. The symmetrical component magnitude profile may include symmetrical component quantities calculated at various points along the line between the terminals. In one embodiment, the symmetrical component magnitude profile is made up of negative-sequence voltage magnitudes calculated at the left and right sides of each section from measurements from each terminal. That is, negative-sequence voltage magnitudes for the left and right sides of each section are calculated using measurements from terminal X, and negative-sequence voltage magnitudes for the left and right sides of each section are calculated using measurements from terminal Y. The section in which such profiles cross or are equal is the faulted section.
In one example, for a line with N line sections, symmetrical component magnitude profiles are formed from symmetrical component quantities calculated using measurements obtained at each terminal of the line and properties of each section. Equations 7-10 may be used to calculate negative-sequence voltage magnitude profiles in accordance with this example:
V2k
V2k
V2k
V2k
where:
V2k
V2k
V2k
V2k
{right arrow over (V2)}X is a negative-sequence voltage calculated from measurements at terminal X;
{right arrow over (V2)}Y is a negative-sequence voltage calculated from measurements at terminal Y;
{right arrow over (I2)}X is a negative-sequence current calculated from measurements at terminal X;
{right arrow over (I2)}Y is a negative-sequence current calculated from measurements at terminal Y;
k denotes the section;
N denotes the number of sections; and,
{right arrow over (Z2)}i is a negative-sequence impedance of the section i.
Using the results from the above, the faulted section may be determined by identifying the section in which: 1) the negative-sequence voltage magnitude at the left side of the section calculated from measurements from terminal X is less than or equal to the negative-sequence voltage magnitude at the left side of the section calculated from measurements from terminal Y; and 2) the negative-sequence voltage magnitude at the right side of the section calculated from terminal Y is less than the negative-sequence voltage magnitude at the right side of the section calculated from terminal X. Equations 11 and 12 may be used to identify the faulted section:
V2k
V2k
Specifically, profile 322 is formed from negative-sequence voltage magnitudes calculated using measurements from terminal X. The points at which voltage magnitudes are calculated are at the left and right sides of each section. Profile 320 is formed from negative-sequence voltage magnitudes calculated using measurements from terminal Y at the left and right sides of each section. The negative-sequence voltage magnitudes are calculated using Equations 13-18:
V2S2
V2S3
V2S3
V2S3
V2S2
V2S1
where:
Turning particularly to the example illustrated in
The fault location within the faulted section may be determined by iteratively solving equations to determine the point along the faulted section where the symmetrical-component magnitude profiles are equal, or iteratively solving equations to a point within an acceptable error of the fault location.
As the negative-sequence voltage magnitudes calculated from each terminal should be equal to each other at the fault location Equation 19 will be true at the fault location. Accordingly, the location of the fault in terms of m may be calculated by solving for m:
|{right arrow over (V2)}k
where:
{right arrow over (V2)}k
{right arrow over (V2)}k
Several numeric methods may be used to iteratively solve for the fault location (such as m in Equation 19). One such method is the binary search method (BSM), wherein an initial guess is used to determine if the fault location is at the initial guess. If not, BSM attempts another guess based on whether the previous guess was too high or too low. The method iterates through subsequent guesses until predetermined search criteria are satisfied. For example, the search criteria may use two sequential guesses that are within a certain distance from each other or a certain percentage of each other. Predetermined criteria may further be a predetermined number of iterations, or the like.
In another example, once the faulted section is determined, the fault location may be determined by further refining the faulted section and refining the voltage magnitude profile within the section to more accurately calculate the location of the fault. That is, Equations 1-4 may be used at various points D within the faulted section to refine the voltage magnitude profiles, and Equations 5 and 6 can be used to identify the two points D that straddle the intersection of the profiles to determine the fault location.
Although certain of the above-described fault location embodiments involve two general steps of determining a faulted section and calculating the fault location within that section, in one embodiment the fault location is determined from the symmetrical-component magnitude profile directly.
Method 600 may also determine the percent difference between the two profiles at point Df 612 and determine if the percent difference is greater than a predetermined threshold 614. If the percent difference is less than a predetermined threshold, then the method concludes by returning the fault location as the point Df 618. If, however, the percent difference is greater than a predetermined threshold, then the method may further refine the calculation of the fault location by performing further search calculations near point Df to find a new point Df where the profiles are closer or equal 616. The further refinement may use the BSM or other search technique. The further refinement may simply calculate the negative-sequence voltage magnitudes at points near Df to find a new point where the profiles are closer, calculate a percent difference, and test the percent difference against a predetermined threshold. Once the method has calculated the fault location to within a predetermined acceptable error, the method returns the fault location as the point Df 618.
In one specific embodiment, method 600 calculates the negative-sequence voltage magnitude profile (which is one of a number of symmetrical-component magnitude profiles that can be created) at intervals along the line. The intervals may be determined such that the point with the closest profiles is within the acceptable error. For example, the line may be divided into 100 equal intervals with the profiles calculated at each interval. The result would be a fault location that is within 1% of the line distance to the fault without further refinement, such as that in 616.
The fault location described herein may be implemented to locate faults on an electric power line that is monitored by IEDs.
Although several of the embodiments described herein use negative-sequence impedances and calculate negative-sequence voltage magnitude profiles, other symmetrical component quantities and profiles may be used to calculate a fault location. For example, if the fault is a balanced fault, positive-sequence impedances may be used and positive-sequence voltage magnitude profiles may be calculated to determine the faulted section and/or the fault location.
A computer-readable storage medium 825 may be the repository of a database 828 containing specific electric power line properties for each section, such as impedances, resistances, reactances, lengths, and the like, as well as points D at which the voltage magnitude profile is to be calculated (which may be at the ends of sections, locations of towers or access points, intervals, or the like). Another computer-readable storage medium 826 may be the repository of various software modules configured to perform any of the methods described herein, such as a fault calculation module 860 that includes computer instructions for calculating the location of a fault on a non-homogeneous electric power line with a plurality of sections. The fault calculation module 860 may further include sub-modules, such as a faulted section module 827, that includes computer instructions for determining which section is the faulted section (as further detailed herein) and fault location module 829 that includes computer instructions for determining the location of the fault on the faulted section (as further detailed herein). A data bus 842 may link monitored equipment interface 846, time input 840, communications interface 832, and computer-readable storage mediums 825 and 826 to a processor 824.
Computer-readable storage mediums 825 and 826 may be the same medium (i.e. the same disk, the same non-volatile memory device, or the like) or separate mediums as illustrated. Further, the database 828 may be stored in a computer-readable storage medium that is not part of the IED 800, but that is accessible to the processor using, for example, a data bus, a computer network, or the like.
Processor 824 may be configured to process communications received via communications interface 832, time input 840, and monitored equipment interface 846. Processor 824 may operate using any number of processing rates and architectures. Processor 824 may be configured to perform various algorithms and calculations described herein. Processor 824 may be embodied as a general purpose integrated circuit, an application specific integrated circuit, a field-programmable gate array, and other programmable logic devices.
In certain embodiments, IED 800 may include a sensor component 850. For example, if an IED is used as IED 702 of
In other embodiments, sensor component 850 may be configured to monitor a wide range of characteristics associated with monitored equipment, including equipment status, temperature, frequency, pressure, density, infrared absorption, radio-frequency information, partial pressures, viscosity, speed, rotational velocity, mass, switch status, valve status, circuit breaker status, tap status, meter readings, and the like.
A/D converter 818 may be connected to processor 824 by way of a bus 822, through which digitized representations of current and voltage signals may be transmitted to processor 824. In various embodiments, the digitized current and voltage signals may be used to calculate the location of a fault on the electric power line as described herein.
While specific embodiments and applications of the disclosure have been illustrated and described, it is to be understood that the disclosure is not limited to the precise configuration and components disclosed herein. Various modifications, changes, and variations apparent to those of skill in the art may be made in the arrangement, operation, and details of the methods and systems of the disclosure without departing from the spirit and scope of the disclosure.
Number | Name | Date | Kind |
---|---|---|---|
3958153 | Narayan | May 1976 | A |
4313169 | Takagi | Jan 1982 | A |
4379294 | Sutherland | Apr 1983 | A |
4731689 | Nimmersjo et al. | Mar 1988 | A |
4797805 | Nimmersjo | Jan 1989 | A |
4800509 | Nimmersjo | Jan 1989 | A |
4996624 | Schweitzer, III | Feb 1991 | A |
5123715 | Okubo | Jun 1992 | A |
5140492 | Schweitzer, III | Aug 1992 | A |
5325061 | Schweitzer, III | Jun 1994 | A |
5355717 | Tanaka et al. | Oct 1994 | A |
5367426 | Schweitzer, III | Nov 1994 | A |
5428549 | Chen | Jun 1995 | A |
5455776 | Novosel | Oct 1995 | A |
5687308 | Jardine et al. | Nov 1997 | A |
5734575 | Snow et al. | Mar 1998 | A |
6195754 | Jardine et al. | Feb 2001 | B1 |
6256592 | Roberts et al. | Jul 2001 | B1 |
6483435 | Saha | Nov 2002 | B2 |
6876203 | Blades | Apr 2005 | B2 |
6879917 | Turner | Apr 2005 | B2 |
7221166 | Saha | May 2007 | B2 |
7233153 | Altonen | Jun 2007 | B2 |
7283915 | Saha | Oct 2007 | B2 |
7345862 | Schweitzer, III | Mar 2008 | B2 |
7514933 | Altonen | Apr 2009 | B2 |
7728600 | Wahlroos | Jun 2010 | B2 |
8000913 | Kreiss et al. | Aug 2011 | B2 |
8081002 | Wahlroos | Dec 2011 | B2 |
8183871 | Saha | May 2012 | B2 |
8207743 | Balcerek et al. | Jun 2012 | B2 |
8290727 | Kreiss et al. | Oct 2012 | B2 |
20040100742 | Brown et al. | May 2004 | A1 |
20040138831 | Watanabe et al. | Jul 2004 | A1 |
20040189317 | Borchert et al. | Sep 2004 | A1 |
20060097728 | Saha et al. | May 2006 | A1 |
20060142964 | Saha et al. | Jun 2006 | A1 |
20080150356 | Breit et al. | Jun 2008 | A1 |
20080150544 | Premerlani et al. | Jun 2008 | A1 |
20080174316 | Wahlroos | Jul 2008 | A1 |
20080262692 | Kogure et al. | Oct 2008 | A1 |
20080284447 | Wahlroos | Nov 2008 | A1 |
20080297163 | Wahlroos | Dec 2008 | A1 |
20090105921 | Hanatsuka et al. | Apr 2009 | A1 |
20090150099 | Balcerek et al. | Jun 2009 | A1 |
20090187284 | Kreiss et al. | Jul 2009 | A1 |
20100013632 | Salewske | Jan 2010 | A1 |
20100053829 | Selejan | Mar 2010 | A1 |
20100152910 | Taft | Jun 2010 | A1 |
20100179779 | Taft | Jul 2010 | A1 |
20100179780 | Taft | Jul 2010 | A1 |
20100211255 | Takenaka et al. | Aug 2010 | A1 |
20100211256 | Takenaka et al. | Aug 2010 | A1 |
20100271743 | O'Leary et al. | Oct 2010 | A1 |
20100277181 | Saha et al. | Nov 2010 | A1 |
20110106458 | Shiozawa et al. | May 2011 | A1 |
20110118935 | Shiozawa et al. | May 2011 | A1 |
20110130974 | Yngve et al. | Jun 2011 | A1 |
20110264388 | Gong et al. | Oct 2011 | A1 |
20110264389 | Mynam et al. | Oct 2011 | A1 |
20110270550 | Kreiss et al. | Nov 2011 | A1 |
20120095707 | Li et al. | Apr 2012 | A1 |
Number | Date | Country |
---|---|---|
2007032697 | Mar 2007 | WO |
2007110004 | Apr 2007 | WO |
2009010169 | Jan 2009 | WO |
2009136975 | Nov 2009 | WO |
2010006652 | Jan 2010 | WO |
Entry |
---|
X Luo, M. Kezunovic Automated Analysis of Digital Relay Based on Expert System Jun. 2005. |
D.R. Sevcik, R.B. Lunsford, M. Kezunovic, Z. Galijasevic, S. Banu, T. Popovic Automated Analysis of Fault Records and Dissemination of Event Reports May 2000. |
M. Kezunovic, X. Luo Automated Analysis of Protective Relay Data Jun. 6, 2005. |
Mladen Kezunovic, Goran Latisko, Maja Knezev, Tomo Popovic Automation of Fault Analysis: Implementation Approaches and Related Benefits Jul. 2007. |
X Luo, M. Kezunovic Fault Analysis Based on Integration of Digital Relay and DFR Data Jun. 2005. |
M. Kezunovic, M. Knezev Fault Location Using Sparse IED Recordings Nov. 2007. |
Mladen Kezunovic PSerc Seminar: Integration of Operational and Non-Operational Data for Improved EMS Monitoring Nov. 18, 2008. |
Mladen Kezunovic, Ergun Akleman, Maja Knezev, Ozgur Gonnen, Satish Natti Optimized Fault Location Aug. 19, 2007. |
BPL Global Power SG® Rapid Fault Locator 2009. |
Ratan Das Determining the Location of Faults in Distribution Systems 1998. |
Hashim Hizam, P.A. Crossley Estimation of Fault Location on Radial Distribution Network Using Fault Generated Traveling Wave Signals 2007. |
J. Mora, J Melendez, Marc Vinyoles, J Sanchez, Manel Castro An Overview to Fault Location Methods in Distribution System Based on Single End Measurements of Voltage and Current Mar. 31, 2004. |
T.H.M. El-Fouly, C. Abbey On the Compatability of Fault Location Approaches and Distributed Generation Jul. 29, 2009. |
Dan Ehrenreich Fault Location Integrated with DA Enhances MV Distribution Grid Control Jun. 13, 2006. |
Fengling Han, Xinghuo Yu, Majid Al-Dabbagh, Yi Wang Fault Location in Power Distribution Networks Using Sinusoidal Steady State Analysis 2005. |
Rodrigo A.F. Pereira, Mladen Kezunovic, Jose R.S. Mantovani Fault Location Algorithm for Primary Distribution Feeders Based on Voltage Sags Apr. 2009. |
Ryszard Orlowski, Akhtar Kalam Fault Detection and Location on Distribution Feeders Sep. 29, 1999. |
Bo-Gun Jin, Duck-Su Lee, Seung-Jae Lee, Myeon-Song Choi, Sang-Hee Kang, Bok-Shin Ahn, Nam-Sun Yoon, Ho-Yong Kim, Heung-Jae Lee Intelligent Fault Location and Diagnosis System on Radial Distribution Systems Jun. 24, 2002. |
Laurentiu Nastac, Anupam Thatte Distribution System Fault Analysis, U.S. Department of Energy, Office of Electricity Delivery and Energy Reliability, FY06 Annual Program and Peer Review Meeting May 25, 2006. |
Venkat Mynam Fault Location Theory for Transmission Lines 2007. |
Schweitzer Engineering Laboratories, Inc. SEL-Profile Transmission Line Fault Analysis Program May 30, 2008. |
Demitrios Tziouvaras, Jeff Roberts, Gabriel Benmouyal New Multi-Ended Fault Location Design for Two- or Three-Terminal Lines Nov. 1, 2004. |
Karl Zimmerman, David Costello Impedance-Based Fault Location Experience Oct. 2004. |
David Costello, Karl Zimmerman Distance Element Improvements—A Case Study Apr. 1, 2008. |
Edmund O. Schweitzer, III, Jeff Roberts Distance Relay Element Design Apr. 1993. |
J. Roberts, A. Guzman, E.O. Schweitzer, III Z=V/I Does Not Make a Distance Relay Oct. 1993. |
D. Daniel Sabin, Cristiana Dimitriu, David Santiago, George Baroudi Overview of an Automatic Distribution Fault Location System May 4, 2010. |
Edmund O. Schweitzer, III, David Whitehead, Armando Guzman, Yanfeng Gong, Marcos Donolo Advanced Real-Time Synchrophasor Applications Sep. 23, 2008. |
Franco De Villiers, Marcos Donolo, Armando Guzman, Mani Venkatasubramanian Mitigating Voltage Collapse Problems in the Natal Region of South Africa Sep. 16, 2009. |
Z.M. Radojevic, C.H. Kim, M. Popov, G. Preston, V. Terzija New Approach for Fault Location on Transmission Lines Not Requiring Line Parameters Jun. 3, 2009. |
S. Lopez, J. Gomez, R. Cimadevilla, Synchrophasor Applications of the National Electric System Operator of Spain, 61st Annual Conference for Protective Relay Engineers Apr. 1, 2008. |
David J. Lawrence, Luis Z. Cabeza, Lawrence T. Hochberg, Development of an Advanced Transmission Line Fault Location System Part II—Algorithm Development and Simulation, IEEE Transactions on Power Delivery, vol. 7., No. 4, Oct. 1992. |
Edmund O. Schweitzer, III, Evaluation and Development of Transmission Line Fault Locating Techniques Which Use Sinusoidal Steady-State Information, 9th Annual Western Protective Relay Conference, Oct. 26-28, 1982. |
T. Takagi, Y. Yamakoshi, M. Yamaura, R. Kondou, T. Matsushima, Development of a New Fault Type Locator Using the One-Terminal Voltage and Current Data, IEEE Transaction on Power Apparatus and Systems, vol. PAS-101, No. 8, Aug. 1982, pp. 2892-2898. |
D. Novosel, D.G. Hart, E. Udren, J. Garitty, Unsynchronized Two-Terminal Fault Location Estimation, IEEE Transaction on Power Delivery, vol. 11, No. 1, 1996, pp. 130-138. |
A. Guzman, V. Mynam, G. Zweigle, Backup Transmission Line Protection for Ground Faults and Power Swing Detection Using Synchrophasors, 34th Annual Western Protective Relay Conference, Oct. 2007. |
J. Vargas, A. Guzman, J. Robles, Underground/Submarine Cable Protection Using a Negative-Sequence Directional Comparison Scheme, 1999. |
Claude Fecteau, Accurate Fault Location Algorithm for Series Compensated Lines Using Two-Terminal Unsynchronized Measurements and Hydro-Quebec's Field Experience, Research Institute of Hydro-Quebec, 33rd Annual Western Protective Relay Conference, Oct. 17-19, 2006. |
Siemens, Oscop P Fault Locator, Manual, Mar. 2007. |
Number | Date | Country | |
---|---|---|---|
20120068717 A1 | Mar 2012 | US |