Parameter fitting-based traveling wave fault location method for multi-terminal DC grids
DC fault location technology is crucial for estimating the fault location and developing multi-terminal direct current (MTDC) systems. This article presents a novel fault location method using the parameter fitting approach. The propagation of traveling waves (TWs) in the decoupled line-mode fault n...
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Elsevier
2025-03-01
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Series: | International Journal of Electrical Power & Energy Systems |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061524006355 |
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author | Le Liu Fan Xie Xiaoning Kang Zhiguo Hao Aleksandra Lekić Marjan Popov |
author_facet | Le Liu Fan Xie Xiaoning Kang Zhiguo Hao Aleksandra Lekić Marjan Popov |
author_sort | Le Liu |
collection | DOAJ |
description | DC fault location technology is crucial for estimating the fault location and developing multi-terminal direct current (MTDC) systems. This article presents a novel fault location method using the parameter fitting approach. The propagation of traveling waves (TWs) in the decoupled line-mode fault network is first discussed, resulting in analytical expressions for the backward line-mode current TWs containing fault location information. Then, the adaptive multi-step Levenberg–Marquardt (AMLM) algorithm is applied for parameter fitting owing to its fast processing speed and precision. The exact fault location is estimated using the fitted coefficient. Different testing MTDC systems modeled in PSCAD/EMTDC and a real-time digital simulator (RTDS) validate the proposed fault location method. Based on numerous simulation tests, the AMLM-based parameter fitting and the proposed method are accurate, with errors smaller than 0.5%. Compared to the existing methods, the proposed method has desired performance under close-in faults, can withstand 35 dB noise interference, and obviates the need for an extremely high sampling frequency, estimation of tws velocity, and communication devices. |
format | Article |
id | doaj-art-3548e43d574e4ea39730feaf76ecb72d |
institution | Kabale University |
issn | 0142-0615 |
language | English |
publishDate | 2025-03-01 |
publisher | Elsevier |
record_format | Article |
series | International Journal of Electrical Power & Energy Systems |
spelling | doaj-art-3548e43d574e4ea39730feaf76ecb72d2025-01-19T06:23:57ZengElsevierInternational Journal of Electrical Power & Energy Systems0142-06152025-03-01164110412Parameter fitting-based traveling wave fault location method for multi-terminal DC gridsLe Liu0Fan Xie1Xiaoning Kang2Zhiguo Hao3Aleksandra Lekić4Marjan Popov5School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, 710049, China; Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, 2628 CD, The Netherlands; Corresponding author at: School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, 710049, China.School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, 710049, China; Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, 2628 CD, The Netherlands; Electric Power Research Institute, China Southern Power Grid, Guangzhou, 510663, ChinaSchool of Electrical Engineering, Xi’an Jiaotong University, Xi’an, 710049, ChinaSchool of Electrical Engineering, Xi’an Jiaotong University, Xi’an, 710049, ChinaFaculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, 2628 CD, The NetherlandsFaculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, 2628 CD, The NetherlandsDC fault location technology is crucial for estimating the fault location and developing multi-terminal direct current (MTDC) systems. This article presents a novel fault location method using the parameter fitting approach. The propagation of traveling waves (TWs) in the decoupled line-mode fault network is first discussed, resulting in analytical expressions for the backward line-mode current TWs containing fault location information. Then, the adaptive multi-step Levenberg–Marquardt (AMLM) algorithm is applied for parameter fitting owing to its fast processing speed and precision. The exact fault location is estimated using the fitted coefficient. Different testing MTDC systems modeled in PSCAD/EMTDC and a real-time digital simulator (RTDS) validate the proposed fault location method. Based on numerous simulation tests, the AMLM-based parameter fitting and the proposed method are accurate, with errors smaller than 0.5%. Compared to the existing methods, the proposed method has desired performance under close-in faults, can withstand 35 dB noise interference, and obviates the need for an extremely high sampling frequency, estimation of tws velocity, and communication devices.http://www.sciencedirect.com/science/article/pii/S0142061524006355MTDCFault locationTraveling waveParameter fittingAdaptive multi-step Levenberg–Marquardt algorithmRTDS |
spellingShingle | Le Liu Fan Xie Xiaoning Kang Zhiguo Hao Aleksandra Lekić Marjan Popov Parameter fitting-based traveling wave fault location method for multi-terminal DC grids International Journal of Electrical Power & Energy Systems MTDC Fault location Traveling wave Parameter fitting Adaptive multi-step Levenberg–Marquardt algorithm RTDS |
title | Parameter fitting-based traveling wave fault location method for multi-terminal DC grids |
title_full | Parameter fitting-based traveling wave fault location method for multi-terminal DC grids |
title_fullStr | Parameter fitting-based traveling wave fault location method for multi-terminal DC grids |
title_full_unstemmed | Parameter fitting-based traveling wave fault location method for multi-terminal DC grids |
title_short | Parameter fitting-based traveling wave fault location method for multi-terminal DC grids |
title_sort | parameter fitting based traveling wave fault location method for multi terminal dc grids |
topic | MTDC Fault location Traveling wave Parameter fitting Adaptive multi-step Levenberg–Marquardt algorithm RTDS |
url | http://www.sciencedirect.com/science/article/pii/S0142061524006355 |
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