An automatic fault section identification method based on distributed traveling wave sensors
As electrification deepens and the society relies more and more on electricity, dependability and safety standard of the power distribution system becomes higher and higher. What is more, to minimize carbon emission, high percentage of renewable energy resources penetration is becoming a reality, wh...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S235248472201561X |
| _version_ | 1828010094468530176 |
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| author | Haitao Liu Lianjie He Yuling Li Yu Xia |
| author_facet | Haitao Liu Lianjie He Yuling Li Yu Xia |
| author_sort | Haitao Liu |
| collection | DOAJ |
| description | As electrification deepens and the society relies more and more on electricity, dependability and safety standard of the power distribution system becomes higher and higher. What is more, to minimize carbon emission, high percentage of renewable energy resources penetration is becoming a reality, which further complicates the distribution system. Because of equipment failure, construction mistake and other causes, power system faults are inevitable. Fault section identification and fault isolation is a critical mission in distribution system operation [1]. As the distribution system develops and evolves, two main ways to accomplish this goal were established: (a) Substation overcurrent relay detects the fault and the corresponding substation breaker isolates the fault. Then trial-and-error method is used to identify and isolate the fault section; (b) Distributed sensors are deployed in the distribution system. Distribution system automation software in the operation center then collects fault information sent from all the distributed sensors. Operation stuff make a judgement on the fault section and fault isolation is done on a remote control or manual operation fashion. These methods leave a lot of room for improvements, which will be elaborated in section II. In this paper, integrated usage of fundamental frequency signals and traveling waves signals is done for fault detection and fault type identification in distributed sensors. And then an automatic fault section identification algorithm is introduced. This algorithm does not require human intervention, which reduces outage time, saves manual efforts and also lays the foundation for automatic electricity restoration. |
| first_indexed | 2024-04-10T08:48:49Z |
| format | Article |
| id | doaj.art-278b22ebd600456cbfa21e7a13d0260b |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-10T08:48:49Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-278b22ebd600456cbfa21e7a13d0260b2023-02-22T04:31:25ZengElsevierEnergy Reports2352-48472022-11-018356362An automatic fault section identification method based on distributed traveling wave sensorsHaitao Liu0Lianjie He1Yuling Li2Yu Xia3State Grid Shanghai Energy Interconnection Research Institute Co., Ltd, ChinaState Grid Shanghai Energy Interconnection Research Institute Co., Ltd, ChinaState Grid Shanghai Energy Interconnection Research Institute Co., Ltd, ChinaBeijing Qingyuan Relay Protection Technology Co., Ltd, China; Corresponding author.As electrification deepens and the society relies more and more on electricity, dependability and safety standard of the power distribution system becomes higher and higher. What is more, to minimize carbon emission, high percentage of renewable energy resources penetration is becoming a reality, which further complicates the distribution system. Because of equipment failure, construction mistake and other causes, power system faults are inevitable. Fault section identification and fault isolation is a critical mission in distribution system operation [1]. As the distribution system develops and evolves, two main ways to accomplish this goal were established: (a) Substation overcurrent relay detects the fault and the corresponding substation breaker isolates the fault. Then trial-and-error method is used to identify and isolate the fault section; (b) Distributed sensors are deployed in the distribution system. Distribution system automation software in the operation center then collects fault information sent from all the distributed sensors. Operation stuff make a judgement on the fault section and fault isolation is done on a remote control or manual operation fashion. These methods leave a lot of room for improvements, which will be elaborated in section II. In this paper, integrated usage of fundamental frequency signals and traveling waves signals is done for fault detection and fault type identification in distributed sensors. And then an automatic fault section identification algorithm is introduced. This algorithm does not require human intervention, which reduces outage time, saves manual efforts and also lays the foundation for automatic electricity restoration.http://www.sciencedirect.com/science/article/pii/S235248472201561XProtective relayingDistribution system automationDistributed fault sensorsIntelligent distribution switchTraveling wave |
| spellingShingle | Haitao Liu Lianjie He Yuling Li Yu Xia An automatic fault section identification method based on distributed traveling wave sensors Energy Reports Protective relaying Distribution system automation Distributed fault sensors Intelligent distribution switch Traveling wave |
| title | An automatic fault section identification method based on distributed traveling wave sensors |
| title_full | An automatic fault section identification method based on distributed traveling wave sensors |
| title_fullStr | An automatic fault section identification method based on distributed traveling wave sensors |
| title_full_unstemmed | An automatic fault section identification method based on distributed traveling wave sensors |
| title_short | An automatic fault section identification method based on distributed traveling wave sensors |
| title_sort | automatic fault section identification method based on distributed traveling wave sensors |
| topic | Protective relaying Distribution system automation Distributed fault sensors Intelligent distribution switch Traveling wave |
| url | http://www.sciencedirect.com/science/article/pii/S235248472201561X |
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