Novel Faulted-Section Location Method for Active Distribution Networks of New-Type Power Systems
This paper puts forward a fault location method combining the improved matrix algorithm and the genetic tabu algorithm based on multi-source information in view of the limitation of existing fault location methods in active distribution networks, such as long-time consumption, low accuracy, and low...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-07-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/14/8521 |
| _version_ | 1797590363087568896 |
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| author | Ye Sun Qing Chen Dan Xie Ning Shao Wei Ding Yuzhan Dong |
| author_facet | Ye Sun Qing Chen Dan Xie Ning Shao Wei Ding Yuzhan Dong |
| author_sort | Ye Sun |
| collection | DOAJ |
| description | This paper puts forward a fault location method combining the improved matrix algorithm and the genetic tabu algorithm based on multi-source information in view of the limitation of existing fault location methods in active distribution networks, such as long-time consumption, low accuracy, and low tolerance performance. Firstly, the fault region location method is proposed to simplify the active distribution network model and reduce the matrix calculation dimension. Secondly, the improved matrix algorithm is proposed to locate the fault section, and a positioning result verification method is proposed to improve the tolerance performance. Finally, the genetic tabu algorithm is proposed to optimize suspicious fault sections when the verification is incorrect and obtain the positioning result. The simulation results show that the fault location method proposed in this paper locates faster and performs better in both accuracy and tolerance in different fault conditions than others. |
| first_indexed | 2024-03-11T01:19:24Z |
| format | Article |
| id | doaj.art-3dbb919e0e594cecbdd9cdc37165a8fd |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T01:19:24Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-3dbb919e0e594cecbdd9cdc37165a8fd2023-11-18T18:14:16ZengMDPI AGApplied Sciences2076-34172023-07-011314852110.3390/app13148521Novel Faulted-Section Location Method for Active Distribution Networks of New-Type Power SystemsYe Sun0Qing Chen1Dan Xie2Ning Shao3Wei Ding4Yuzhan Dong5Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan 250061, ChinaKey Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan 250061, ChinaKey Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan 250061, ChinaKey Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan 250061, ChinaKey Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan 250061, ChinaKey Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan 250061, ChinaThis paper puts forward a fault location method combining the improved matrix algorithm and the genetic tabu algorithm based on multi-source information in view of the limitation of existing fault location methods in active distribution networks, such as long-time consumption, low accuracy, and low tolerance performance. Firstly, the fault region location method is proposed to simplify the active distribution network model and reduce the matrix calculation dimension. Secondly, the improved matrix algorithm is proposed to locate the fault section, and a positioning result verification method is proposed to improve the tolerance performance. Finally, the genetic tabu algorithm is proposed to optimize suspicious fault sections when the verification is incorrect and obtain the positioning result. The simulation results show that the fault location method proposed in this paper locates faster and performs better in both accuracy and tolerance in different fault conditions than others.https://www.mdpi.com/2076-3417/13/14/8521active distribution networksfault locationimproved matrix algorithmgenetic tabu algorithm |
| spellingShingle | Ye Sun Qing Chen Dan Xie Ning Shao Wei Ding Yuzhan Dong Novel Faulted-Section Location Method for Active Distribution Networks of New-Type Power Systems Applied Sciences active distribution networks fault location improved matrix algorithm genetic tabu algorithm |
| title | Novel Faulted-Section Location Method for Active Distribution Networks of New-Type Power Systems |
| title_full | Novel Faulted-Section Location Method for Active Distribution Networks of New-Type Power Systems |
| title_fullStr | Novel Faulted-Section Location Method for Active Distribution Networks of New-Type Power Systems |
| title_full_unstemmed | Novel Faulted-Section Location Method for Active Distribution Networks of New-Type Power Systems |
| title_short | Novel Faulted-Section Location Method for Active Distribution Networks of New-Type Power Systems |
| title_sort | novel faulted section location method for active distribution networks of new type power systems |
| topic | active distribution networks fault location improved matrix algorithm genetic tabu algorithm |
| url | https://www.mdpi.com/2076-3417/13/14/8521 |
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