This disclosure relates to traveling wave identification using distortions for electric power system protection. This disclosure also relates to determining whether a fault is within a zone of protection using properly identified instances of traveling waves launched by the fault.
Non-limiting and non-exhaustive embodiments of the disclosure are described, including various embodiments of the disclosure with reference to the figures, in which:
Traveling waves (“TWs”) are surges of electricity resulting from sudden changes in voltage that propagate at a speed near the speed of light along overhead power lines. When launched by a line fault, these TWs carry information about the fault location and type. Furthermore, this information arrives at the line terminals within 1 to 2 ms depending on the line length and fault location. Relative arrival times and polarities of TWs allow for location of faults with accuracy on the order of a single tower span, as well as to protect the line with a permissive over-reaching transfer trip (POTT) scheme using TW-based directional elements (TW32) and with a TW-based line current differential scheme (TW87). These TW-based line protections utilize a communication channel, which may be either a standard pilot channel for the POTT scheme or a direct fiber-optic channel for the TW87 scheme; and may use current TWs, taking advantage of the adequate frequency response of current measurement devices. In various embodiments, line protection systems consistent with the present disclosure may operate on the order of 1 to 2 ms without a communication channel.
A TW launched at the fault point (F) arrives at the local terminal (S) at t1. Part of the TW reflects, travels back toward the fault, reflects back from the fault, and then returns to the local terminal (S) at t4. During the t4−t1 time interval, the TW travels a distance of 2·M. We write the distance-velocity-time equation as follows:
2·M=(t4−t1)·PV Eq. 1
where the propagation velocity, PV, is:
Substituting Eq. 2 into Eq. 1 and solving for M yields Eq. 3, which may be used to calculate the distance-to-fault value:
Introducing a per-unit reach, TW21M, we use Eq. 3 to express an operating equation for the TW21 underreaching distance element:
To emphasize reliance of the TW21 on the measurement of time, we rewrite the TW21 operating equation as follows:
(tF−t1)<2·TW21M·TWLPT Eq. 5
The left-hand side of Eq. 5 is the relay measurement. Responding only to TW arrival times, this measurement is not affected by CT and PT ratio errors, transients, and signal distortions in the lower (kHz) frequency band. The TW21 element does not use line impedance data when calculating the operating signal in Eq. 5, and therefore the operating signal is not affected by the finite accuracy of such line data.
The right-hand side of Eq. 5 is a threshold fixed for any given application—twice the product of the line length expressed in the TW line propagation time, TWLPT, and the user-preferred per-unit reach setting, TW21M. When used in the single-ended TW-based fault locator, a fault location may be determined with the accuracy of 1 or 2 tower spans. Because of this high accuracy, the TW21M reach may be set assertively, such as at 0.95 per unit, to cover 95 percent of the line length without a communication channel (compared with a typical reach setting of 80 percent for an impedance-based distance element).
According to the illustrated embodiment, the traveling wave distance element 200 may be made more secure by requiring other conditions to exist or be determined before the output 212 is asserted. As illustrated, a directional supervision (TW32) input 208 input may indicate that the fault is in a direction of the TW21 element, typically forward. Furthermore, other security conditions 206 may be required in addition to the directional supervision 208 for the traveling wave distance element 200 to solve challenges related to protection security as described below.
Several challenges remain in a successful implementation of the TW21 element. For example, the distance-to-fault calculation shown in Eq. 3 works well if the element correctly identifies the first return from the fault; however, if another TW is mistaken for the first return from the fault, the calculation of the distance-to-fault calculation will be inaccurate. As illustrated in
The TW21 installed at Terminal S should operate, but the TW21 installed at Terminal B should restrain. Yet, TW21 algorithms at both Terminal B and Terminal S see the same TW timing and polarity pattern. The magnitude of the TWs measured at Terminal B will be lower than the magnitude of TWs measured at Terminal S; however, these low magnitudes may be a result of TW magnitude reduction when transmitting through Terminal S for a fault at F (in which case Terminal B should restrain), or they may be a result of a fault at F* that occurred at the low point-on-wave voltage (in which case Terminal B should operate). Various embodiments disclosed herein may aid in differentiating between a fault at F and F* by using bus-specific TW distortions to identify a return from the fault.
When launched by a fault, the incident TW is a relatively clean step in current and voltage, as indicated by signals 402a and 402b. Signals 402a and 402b propagate toward buses S and R, respectively. When the sharp step in the current and voltage of signals 402a and 402b arrive at buses S and R, the signals excite the parasitic high-frequency resonant circuits present at the buses. The lumped-parameter circuits are composed of the inductance and capacitance of the buswork, parasitic capacitance of transformer windings, capacitance-coupled voltage transformer (CCVTs), surge arresters, and so on. As a result, the reflected TWs are distorted in a way that they “encode” the unique characteristics of the bus. As illustrated, the reflection from bus S 404a differs from the reflection from bus R 406. These uniquely encoded TWs 404a and 406 reflect back from buses S and R toward the fault.
Signal 404a reflects again from fault F without significant distortion (i.e., the unique encoding from the reflection from bus S is retained) as signal 404b. An IED implementing a TW21 algorithm at bus S may compare signals 404a and 404b, determine that the shapes are similar, and thus identify the wave 404b as a reflection from the fault of the wave 404a, and by doing so provide additional security associated with the determination of the distance M to the fault F.
Signal 406 is encoded with the unique shape associated with bus R. When signal 406 arrives at bus S, an IED implementing a TW21 algorithm may determine that the shape of signal 406 differs from the shape of signals 404a. Based on this difference, the algorithm may correctly determine that signal 406 is not a reflection from fault F of the wave 404a, but rather is a reflection from a different bus with a unique encoding. It shall be noted that TWs when they reflect and transmit at various discontinuities, they may change polarity. For simplicity, the explanation above does not consider polarity changes. Similarly, one must consider the three-conductor nature of power lines. A TW in one conductor couples to the other two conductors as it travels. TWs when they reflect and transmit at various discontinuities, they couple anew after reflection or transmission. A practical implementation shall take these observations into account.
In similar manner, TWs that come from behind the relay and are transmitted through the local bus toward the fault on the protected line are also encoded with the circuits present on the bus. If their energy is high enough to travel to the fault and back, they will return with a similar shape. In general, a return from the fault is any incident wave that traveled toward the bus from the forward direction and has a shape similar to the shape of the wave that traveled away from the bus in the forward direction. This principle can be summarized as follows: if the shapes of the TWs sent toward the fault (reflected from the bus after arriving from discontinuities in front of the bus, or transmitted through the bus after originating behind the bus) and the incident TWs arriving after 2·m·TWLPT are similar, then m is a true per-unit distance to the fault.
In contrast to the matching signals 504a, 504b at bus S, the signals received by an IED at bus B will not match due to the encoding of these signals resulting from different interactions with bus S and bus B. More specifically, signals 506 and 508 may arrive at bus B at t4 and t6, respectively. Signal 504a comprises an “encoded” reflection of the signal 502a, while signal 504b comprises an “encoded” representation of the signal 502b that passes through bus S. Stated in other words, signal 506 is equal to the difference between signal 502a and 504a. The interaction with the lumped-parameter circuits associated with bus S may cause signal 504a and signal 506 to have differences in shape that may be analyzed by various embodiments consistent with the present disclosure.
An IED analyzing the signals shown in
The term “similar shape” used above can be implemented in a number of ways. In one possible implementation, a correlation can be used between short data windows of one wave with a wave suspected to be the return of the first wave reflected from the fault. If the two shapes are similar a correlation would yield a large value relative to product of autocorrelations for each wave.
A plurality of traveling waves may be received at 606. The plurality of traveling waves may be created by virtue of reflections from discontinuities within an electric power system. In various embodiments, each reflection may be processed one at a time. The plurality of traveling waves may comprise, for example, a plurality of reflections arriving from both the forward and reverse directions, and some of the reflections coming from the forward direction may be reflections from the fault on the protected line, and each resulting traveling wave may be analyzed. Referring to
Returning to a discussion of
Elements 606, 608, and 610 may be explained with reference to
Returning to a discussion of
At 616, method 600 may determine whether the fault is within a reach setting based on the distance to the fault determined at 614. In various embodiments, the distance to the fault may be compared to a specific value (e.g., a value expressed in meters) or to a per unit value (e.g., a threshold representing a certain portion of the line) to determine if the fault is within a zone of protection. If the fault is outside of the zone of protection, protective action may be restrained at 612.
If the fault is within a reach setting based on the determination at 616, a protective action may be enabled at 618. The protective action may be initiated based on the single measurement as described above, or for enhanced security, using multiple measurements. Referring to
The voltage and current traveling waves are linked with the characteristic impedance of the line, and according, may be separated into the incident, reflected and transmitted components. This separation may be performed using Eq. 6 for voltage traveling waves or Eq. 7 for current traveling waves.
Accurate measurements of both the total current traveling wave (iTW) and the voltage traveling wave (VTW) are needed to separate incident, reflected, and transmitted components. Current transformers may be used in some embodiments because they provide sufficiently accurate current traveling wave measurements. High-fidelity voltage measurements may be obtained in various embodiments using the systems and methods disclosed in U.S. patent application Ser. No. 16/137,186, titled HIGH-FIDELITY VOLTAGE MEASUREMENT USING A CAPACITANCE-COUPLED VOLTAGE TRANSFORMER, and filed on Sep. 20, 2018, which is incorporated herein by reference.
Wave separation into the incident, reflected, and transmitted traveling waves may allow better utilization of the traveling wave information as compared with using just traveling wave measurements from current transformers, which are the sums of the incident and reflected waves.
System 700 may be implemented using hardware, software, firmware, and/or any combination thereof. In some embodiments, system 700 may be embodied as an IED, while in other embodiments, certain components or functions described herein may be associated with other devices or performed by other devices. The specifically illustrated configuration is merely representative of one embodiment consistent with the present disclosure.
System 700 includes a communications interface 716 to communicate with devices and/or IEDs. In certain embodiments, the communications interface 716 may facilitate direct communication with other IEDs or communicate with systems over a communications network. System 700 may further include a time input 712, which may be used to receive a time signal (e.g., a common time reference) allowing system 700 to apply a time-stamp to the acquired samples. In certain embodiments, a common time reference may be received via communications interface 716, and accordingly, a separate time input may not be required for time-stamping and/or synchronization operations. One such embodiment may employ the IEEE 1588 protocol. A monitored equipment interface 708 may receive status information from, and issue control instructions to, a piece of monitored equipment (such as a circuit breaker, conductor, transformer, or the like).
Processor 724 processes communications received via communications interface 716, time input 712, and/or monitored equipment interface 708. Processor 724 may operate using any number of processing rates and architectures. Processor 724 may perform various algorithms and calculations described herein. Processor 724 may be embodied as a general-purpose integrated circuit, an application-specific integrated circuit, a field-programmable gate array, and/or any other suitable programmable logic device.
In certain embodiments, system 700 may include a sensor component 710. In the illustrated embodiment, sensor component 710 may receive high-fidelity current measurements 702 and/or high-fidelity voltage measurements 714. The sensor component 710 may use comprise A/D converters 718 that sample and/or digitize filtered waveforms to form corresponding digitized current and voltage signals provided to data bus 722. High-fidelity current measurements 702 and/or high-fidelity voltage measurements 714 may include separate signals from each phase of a three-phase electric power system. A/D converters 718 may be connected to processor 724 by way of data bus 722, through which digitized representations of current and voltage signals may be transmitted to processor 724.
A non-transitory computer-readable storage medium 730 may be the repository of various software modules that perform the methods, calculations, and determinations described herein. A data bus 742 may link monitored equipment interface 708, time input 712, communications interface 716, and computer-readable storage medium 730 to processor 724.
Communications module 732 may allow system 700 to communicate with any of a variety of external devices via communications interface 716. Communications module 732 may communicate using a variety of data communication protocols.
Data acquisition module 740 may collect data samples, such as current and voltage measurements associated with traveling waves. The data samples may be associated with a timestamp and made available for retrieval and/or transmission to a remote IED via communications interface 716. Traveling waves may be measured and recorded in real-time, since they are transient signals that dissipate rapidly in an electric power delivery system. Data acquisition module 740 may operate in conjunction with fault detector module 734. Data acquisition module 740 may control recording of data used by the fault detector module 734. According to one embodiment, data acquisition module 740 may selectively store and retrieve data and may make the data available for further processing. Such processing may include processing by fault detector module 734, which may identify distortions in traveling waves.
Traveling wave identification module 744 may compare distortions of traveling waves. As described and illustrated herein, traveling wave distortions may be used to determine the origin or reflection of traveling waves. Traveling waves with similar distortions may be determined to have similar origins or reflections. Traveling wave identification module 744 may identify traveling waves based on detected distortions. The fault detector module 734 may determine a fault according to several traveling wave protection algorithms using the identifications of the traveling waves according to several embodiments herein.
A protective action module 752 may implement a protective action based on a declaration of a fault by the fault detector module 734. In various embodiments, a protective action may include tripping a breaker, selectively isolating a portion of the electric power system, etc. In various embodiments, the protective action module 752 may coordinate protective actions with other devices in communication with system 700.
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 configurations and components disclosed herein. Accordingly, many changes may be made to the details of the above-described embodiments without departing from the underlying principles of this disclosure. The scope of the present invention should, therefore, be determined only by the following claims.
The present application claims priority under 35 U.S.C. § 119 to U.S. Provisional Patent Application No. 62/562,274, titled TRAVELING WAVE IDENTIFICATION USING DISTORTIONS FOR ELECTRIC POWER SYSTEM PROTECTION filed Sep. 22, 2017, which is incorporated by reference.
Number | Name | Date | Kind |
---|---|---|---|
2209810 | Cordroy | Jul 1940 | A |
3401304 | Woodworth | Sep 1968 | A |
3546534 | Kotos | Dec 1970 | A |
3558984 | Smith | Jan 1971 | A |
3684948 | Eissmann | Aug 1972 | A |
3870926 | Hughes | Mar 1975 | A |
4322768 | Maeda | Mar 1982 | A |
4327390 | Despiney | Apr 1982 | A |
4329638 | Le Maguet | May 1982 | A |
4757263 | Cummings | Jul 1988 | A |
4914382 | Douville | Apr 1990 | A |
5272439 | Mashikian | Dec 1993 | A |
5367426 | Schweitzer, III | Nov 1994 | A |
5418776 | Purkey | May 1995 | A |
5430599 | Charpentier | Jul 1995 | A |
5473244 | Libove | Dec 1995 | A |
5563459 | Kurosawa et al. | Oct 1996 | A |
5627415 | Charpentier | May 1997 | A |
5671112 | Hu | Sep 1997 | A |
5703745 | Roberts | Dec 1997 | A |
5805395 | Hu | Sep 1998 | A |
5991177 | Kaczkowski | Nov 1999 | A |
6028754 | Guzman | Feb 2000 | A |
6256592 | Roberts | Jul 2001 | B1 |
6341055 | Guzman-Casillas | Jan 2002 | B1 |
6356421 | Guzman-Casillas | Mar 2002 | B1 |
6369996 | Bo | Apr 2002 | B1 |
6392390 | Ito et al. | May 2002 | B1 |
6456947 | Adamiak | Sep 2002 | B1 |
6493203 | Ito et al. | Dec 2002 | B1 |
6518767 | Roberts | Feb 2003 | B1 |
6571182 | Adamiak | May 2003 | B2 |
6590397 | Roberts | Jul 2003 | B2 |
6798211 | Rockwell | Sep 2004 | B1 |
6879917 | Turner | Apr 2005 | B2 |
6919717 | Ghassemi | Jul 2005 | B2 |
7095139 | Tsutada et al. | Aug 2006 | B2 |
7345863 | Fischer | Mar 2008 | B2 |
7425778 | Labuschagne | Sep 2008 | B2 |
7469190 | Bickel | Dec 2008 | B2 |
7472026 | Premerlani | Dec 2008 | B2 |
7629786 | Lee | Dec 2009 | B2 |
7696648 | Kinoshita et al. | Apr 2010 | B2 |
7812615 | Gajic | Oct 2010 | B2 |
7982341 | Kinoshita et al. | Jul 2011 | B2 |
8008810 | Kinoshita et al. | Aug 2011 | B2 |
8217536 | Koshizuka et al. | Jul 2012 | B2 |
8289668 | Kasztenny | Oct 2012 | B2 |
8553379 | Kasztenny | Oct 2013 | B2 |
8564159 | Udagawa et al. | Oct 2013 | B2 |
8750008 | Sugiyama et al. | Jun 2014 | B2 |
9008982 | Tziouvaras | Apr 2015 | B2 |
9459291 | Matsumoto | Oct 2016 | B2 |
9714957 | Giovanelli | Jul 2017 | B2 |
20010012984 | Adamiak | Aug 2001 | A1 |
20020101229 | Roberts | Aug 2002 | A1 |
20030164714 | Ghassemi | Sep 2003 | A1 |
20050068792 | Yasumura | Mar 2005 | A1 |
20060012374 | Kojovic | Jan 2006 | A1 |
20070070565 | Benmouyal | Mar 2007 | A1 |
20070290670 | Lee | Dec 2007 | A1 |
20080077336 | Fernandes | Mar 2008 | A1 |
20090059447 | Gajic | Mar 2009 | A1 |
20090091867 | Guzman-Casillas | Apr 2009 | A1 |
20090097173 | Kinoshita et al. | Apr 2009 | A1 |
20090230974 | Kojovic | Sep 2009 | A1 |
20100002348 | Donolo | Jan 2010 | A1 |
20100039737 | Koshizuka et al. | Feb 2010 | A1 |
20100085668 | Kinoshita et al. | Apr 2010 | A1 |
20100141235 | Koshiduka et al. | Jun 2010 | A1 |
20100217548 | Faybisovich | Aug 2010 | A1 |
20110080053 | Urano | Apr 2011 | A1 |
20130155553 | Kawasaki et al. | Jun 2013 | A1 |
20130176021 | Udagawa et al. | Jul 2013 | A1 |
20150081234 | Schweitzer, III et al. | Mar 2015 | A1 |
20150081235 | Schweitzer | Mar 2015 | A1 |
20160077149 | Schweitzer, III | Mar 2016 | A1 |
20160241336 | Kasztenny | Aug 2016 | A1 |
20170012424 | Schweitzer, III et al. | Jan 2017 | A1 |
20170082675 | Schweitzer, III et al. | Mar 2017 | A1 |
20170110875 | Schweitzer, III et al. | Apr 2017 | A1 |
20170222588 | Royak | Aug 2017 | A1 |
20180145665 | Hurwitz | May 2018 | A1 |
Number | Date | Country |
---|---|---|
103884963 | Jun 2014 | CN |
104730419 | Jun 2015 | CN |
103364604 | Jun 2016 | CN |
103604991 | Mar 2017 | CN |
1074849 | Feb 2001 | EP |
2009081215 | Jul 2009 | WO |
2016139613 | Sep 2016 | WO |
2016177407 | Nov 2016 | WO |
2017125145 | Jul 2017 | WO |
Entry |
---|
PCT/US2018/052207 Patent Cooperation Treaty International Search Report and Written Opinion of the International Searching Authority, dated Dec. 10, 2018. |
PCT/US2018/052275 Patent Cooperation Treaty International Search Report and Written Opinion of the International Searching Authority, dated Dec. 7, 2018. |
ABB High Voltage Products. “PQ-Sensor™” http://www.pqs-consulting.com/brochure-abb-1hsm_9543_42-20en_pqsensor_technical_information.pdf, Apr. 2008. |
Trench, “Master of Waves” https://w5.siemens.com/italy/web/pw/press/newsletterenergy/Documents/Trench_Italia.pdf, Sep. 2014. |
Ritz Instrument Transformers. “PQSensor Power Quality Sensor”, Apr. 2006. |
BVM Systems Limited, “PQSensor™ MkIII Installation and Commissioning Manual”, Aug. 2010. |
Arteche “Power Quality Measurement with Capacitor Voltage Transformers”, Nov. 2013. |
BVM Systems Limited, “Harmonic Measurements on Transmission Networks” Sep. 2010. |
60HZ Solutions, Corporate Profile, Sep. 2014. |
Kai Che, Jinxi Yang, Tanru Ni, Xiangjun Zeng, Yang Leng, Yunkun Xiang, “Testing System of Voltage Traveling Wave Fault Location Technique” 2017 IEEE Conference on Energy Internet and Energy System Integration, Nov. 26-28, 2017. |
Zewin Li, Tuofu Deng, Xiangjun Zeng, Feng Deng, Lei Shu, “Theoretical Modeling and Implementation of Traveling Wave Sensor Based on PCB Coils” Journal of Sensors, vol. 2015, Apr. 2, 2015. |
T. Yamada, E. Kurosaki, N. Yamamoto, M. Matsumoto, “Development of Simple Coupling-Capacitor Voltage Transformer for GIS” 2001 IEEE Power Engineering Society Winter Meeting, Jan. 28-Feb. 2001. |
E. O. Schweitzer, III, B. Kasztenny, “Distance Protection, Why Have we Started with a Circle, Does it Matter, and What Else is Out There?” 44th Annual Western Protective Relay Conference, Oct. 2017. |
David Costello, Karl Zimmerman, “CVT Transients Revisited—Distance, Directional Overcurrent, and Communications-Assisted Tripping Concerns” 65th Annual Conference for Protective Relay Engineers, Apr. 2012. |
R. A. Hedding “CCVT Transient Fundamentals” 65th Annual Conference for Protective Relay Engineers, 2012. |
Y.J. Xia “A Novel Fault Location Scheme Using Voltage Traveling Wave of CVTs” Universities Power Engineering Conference, 2004. |
R. G. Bainy, F. V. Lopes, W. L. A. Neves, “Benefits of CCVT Secondary Voltage Compensation on Traveling Wave-Based Fault Locators” PES General Meeting 2014. |
F. Ghassemi “Harmonic Voltage Measurements Using CVTs” IEEE Transactions on Power Delivery, vol. 20, No. 1, Jan. 2005. |
H. J. Vermeulen, P. Davel, “Voltage Harmonic Distortion Measurements Using Capacitive Votlage Transformers” IEEE Africon, 1996. |
BVM Systems Limited. “PQSensor™ Broadband Voltage Transducer”, http://www.bvmsystems.com.uk/Downloads_files/PQSensor_1.0_A4.pdf, Dec. 2009. |
F. Ghassemi and P. Gale, “Method to Measure CVT Transfer Function”, IEEE Transactions on Power Delivery, vol. 17, No. 4, pp. 915-920, Oct. 2002. |
PCT/US2018/052480 Patent Cooperation Treaty, International Search Report and Written Opinion of the International Searching Authority, dated Nov. 26, 2018. |
Edmund O. Schweitzer, III, Armando Guzman, Mangapathirao V. Mynam, Veselin Skendzic, Bogdan Kasztenny, Stephen Marx; Locating Faults by the Traveling Waves they Launch, 2014 Texas A&M Conference for Protective Relay Engineers, Feb. 10, 2014. |
Yadong Liu, Gehao Sheng, Zhimin He, Xiuchen Jiang, A Traveling Wave Fault Location Method for Earth Faults Based on Mode Propagation Time Delays of Multi-Measuring Points, Przeglad Elektrotechniczny (Electrical Review), Jan. 2012. |
PCT/US2018/052204 Patent Cooperation Treaty, International Search Report and Written Opinion of the International Searching Authority, dated Dec. 21, 2018. |
PCT/US2018/052196 Patent Cooperation Treaty, International Search Report and Written Opinion of the International Searching Authority, dated Dec. 21, 2018. |
PCT/US2018/052470 Patent Cooperation Treaty, International Search Report and Written Opinion of the International Searching Authority, dated Nov. 30, 2018. |
J. Brunke, Elimination of Transient Inrush Currents When Energizing Unloaded Power Transformers, Ph.D Dissertation, ETH Swiss Federal Institute of Technology, Zurich, Switzerland, 1998. |
D. Goldsworthy, T. Roseburg, D. Tziouvaras, and J. Pope, Controlled Switching of HVAC Circuit Breakers: Application Examples and Benefits, 34th Annual Western Protective Relay Conference Proceedings, Spokane, WA, Oct. 2007. |
J. H. Brunke and K. J. Frohlich, Elimination of Transformer Inrush Currents by Controlled Switching, Part II, IEEE Transactions on Power Delivery, vol. 16, No. 2, pp. 281-285, Apr. 2002. |
J. H. Brunke and K. J. Frohlich, Elimination of Transformer Inrush Currents by Controlled Switching, IEEE Electric Power Systems Research-Selected Topics in Power System Transients, pp. 642-649, May 2006. |
A. Mercier, E. Portales, Y. Filion, and A. Salibi, Transformer Control Switching Taking into Account the Core Residual Flux—a Real Case Study, Paper No. 13-201, Cigre 2002 Session, Paris, France. |
E. Portales, and Q. Bui-Van, New Control Strategy of Inrush Transient During Transformer Energization at Toulnustouc Hydropower Plant Using a Double-Break 330 kV Circuit Breaker, IPST 2003, New Orleans, USA. |
CIGRE WG 13.07, Controlled Switching of Unloaded Power Transformers, Electra, No. 212, pp. 39-47, Feb. 2004. |
M. Steurer and K. Frohlich, The impact of inrush currents on the mechanical stress of high voltage power transformer coils, IEEE Transactions on Power Delivery, vol. 17, No. 1, pp. 155-160, Jan. 2002. |
F. Ghassemi and P. Gale, Harmonic voltage measurements using CVTs, IEEE Transactions on Power Delivery, vol. 17, No. 4, pp. 915-920, Oct. 2002. |
F. Ghassemi and P. Gale, Method to measure CVT transfer function, IEEE Transactions on Power Delivery, vol. 20, No. 1, pp. 443-449, Jan. 2005. |
S. Zhao, H. Y. Li, F. Ghassemi, P. Crossley, Impact of power quality sensor technique on power system protection voltage transient measurements, 10th IET International Conference on Developments in Power System Protection, Mar. 2010. |
R. Malewski, J. Douville, and L. Lavalee, Measurement of switching transients in 735 kV substations and assessment of their severity for transformer insulation, IEEE Transactions on Power Delivery, vol. 3, No. 4, pp. 1380-1390, Oct. 1988. |
Douglas I. Taylor, Single Phase Transformer Inrush Current Reduction Using Pre-Fluxing, A Thesis Presented in Partial Fulfillment of the Requirement for the Degree of Master of Science with a Major in Electrical Engineering in the College of Graduate Studies, University of Idaho, Nov. 13, 2009. |
M. J. Heathcote, The J & P Transformer Book, 12th Edition, Elsevier, 1998, pp. 512-513. |
S. G. Abdulsalam, W. Xu, A Sequential Phase Energization Method for Transformer Inrush Current Reduction—Transient Performance and Practical Considerations, IEEE Transactions of Power Delivery, vol. 22, No. 1, Jan. 2007, pp 208-216. |
A. Ebner, Determination of Residual Flux for Controlled Transformer Energisation, Power Systems and High Voltage Laboratories Annual Report, 2008, Swiss Federal Institute of Technology, Zurich, Switzerland, pp. 57-61. |
V. Molcrette, J.-L. Kotny, J.-P. Swan, J.-F. Brundy, Reduction of Inrush Current in Single-Phase Transformer using Virtual Air Gap Technique, IEEE Transactions on Magnetics, vol. 34, No. 4, pp. 1192-1194, Jul. 1998. |
B. Kovan, F. De Leon, D. Czarkowski, Z. Zabar, L. Birenbaum, Mitigation of Inrush Currents in Network Transformers by Reducing the Residual Flux With an Ultra-Low-Frequency Power Source, IEEE Transactions on Power Delivery, vol. 26, No. 3, pp. 1563-1570, Jul. 2011. |
ABB, Bushing Potential Device, Type PBA2, Instructions for Installation and Maintenance, Sep. 2003. |
T. Liu, H. Siguerdidjane, M. Petit, T. Jung, J.P. Dupraz, Reconstitution of Power transformer's Residual Flux with CVT's Measurement During its De-energization, Sep. 8-10, 2010. |
Three Phase Electric Power, available at http://en.wikipedia.org/wiki/three-phase_electric_power on Mar. 2, 2011. |
Capacitor Voltage Transformer, available at httP://en.wikipedia.org/wiki/Capacitor_voltage_transformer on Sep. 4, 2010. |
Demetrios A. Tziouvaras, Jeff Roberts, and Gabriel Benmouyal, New Multi-Ended Fault Location Design for Two- or Three-Terminal Lines, Nov. 1, 2004. |
Gabriel Benmouyal, The Trajectories of Line Current Differential Faults in the Alpha Plane, Sep. 22, 2005. |
Debra Carroll, John Dorfner, Tony Lee, Ken Fodero, and Chris Huntly, Resolving Digital Line Current Differential Relay Security and Dependability Problems: A Case History, 29th Annual Western Protective Relay Conference, Spokane Washington, Oct. 22-24, 2002. |
Gabriel Benmouyal and Joe B. Mooney, Advanced Sequence Elements for Line Current Differential Protection, Sep. 15, 2006. |
GE Industrial Systems, L90 Line Current Differential System, UR Series Instruction Manual, Section 8, Manual P/N:1601-0081-T1(GEK-113488) L90 Revision 5.6x2008, Section 8, Jan. 2008. |
PCT/US2010/049162 Patent Cooperation Treaty International Search Report and Written Opinion of the International Searching Authority, dated Dec. 30, 2010. |
Bogdan Kasztenny, Ilia Voloh, Eric A. Udren, Rebirth of Phase Comparison Line Protection Principle, 60th Annual Georgia Tech Protective Relaying Conference, Atlanta, Georgia, May 3-5, 2006. |
Min Zhang, Xinzhou Dong, Z Q Bo, B R J Caunce, and a Klimek, Simulation Tests of a Novel Criterion for Neutral Current Differential Protection, International Conference on Power System Technology, Sep. 2006 Jeff Roberts, Demetrios Tziouvaras, Gabriel Benmouyal, and Hector J. Altuve, The Effect of Multiprinciple Line Protection on Dependability and Security, Feb. 22, 2001. |
Jeff Roberts, Demetrios Tziouvaras, Gabriel Benmouyal, and Hector J. Altuve, The Effect of Multiprinciple Line Protection on Dependability and Security, Feb. 22, 2001. |
PCT/US2010/049166 Patent Cooperation Treaty International Search Report and Written Opinion of the International Searching Authority, dated dec. 13, 2010. |
U.S. Appl. No. 13/416,978, Non-Final Office Action, dated May 8, 2014. |
Number | Date | Country | |
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20190094290 A1 | Mar 2019 | US |
Number | Date | Country | |
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62562274 | Sep 2017 | US |