3D Localization Method of Partial Discharge in Air-Insulated Substation Based on Improved Particle Swarm Optimization Algorithm
Partial discharge (PD) localization in an air-insulated substation (AIS) can be used to assess insulation conditions efficiently. Many localization methods have been reported during the past few years. However, the error of the localization results has been large or the localization algorithm too in...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Symmetry |
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| Online Access: | https://www.mdpi.com/2073-8994/14/6/1241 |
| _version_ | 1797481910035808256 |
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| author | Pengfei Li Xinjie Peng Kaiyang Yin Yaxu Xue Rongqing Wang Zhengsen Ma |
| author_facet | Pengfei Li Xinjie Peng Kaiyang Yin Yaxu Xue Rongqing Wang Zhengsen Ma |
| author_sort | Pengfei Li |
| collection | DOAJ |
| description | Partial discharge (PD) localization in an air-insulated substation (AIS) can be used to assess insulation conditions efficiently. Many localization methods have been reported during the past few years. However, the error of the localization results has been large or the localization algorithm too inefficient. The reason is that the localization equation set is nonlinear and non-symmetrical. In this paper, an improved particle swarm optimization (PSO) algorithm is proposed to improve the localization accuracy in 3D. Firstly, the proposed localization method is based on the symmetrical antenna array and the location error distribution is analyzed. Secondly, the objective function of PSO is constructed using the error distribution. Specifically, the 3D location target is divided into two steps—plane coordinates and height. The two targets are optimized respectively. To verify the method, a test is carried out by a prefabricated fault bushing in the laboratory to compare with the existing methods. According to the results, the localization error is 0.21 m, which can locate the PD source accurately. A complete calculation takes 42.29 s, and the efficiency is increased by 16.13 times under the same accuracy. The comparison results show that the proposed method can greatly improve the efficiency while ensuring accuracy. |
| first_indexed | 2024-03-09T22:21:18Z |
| format | Article |
| id | doaj.art-85ca0ebe848f4b309682013806285306 |
| institution | Directory Open Access Journal |
| issn | 2073-8994 |
| language | English |
| last_indexed | 2024-03-09T22:21:18Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Symmetry |
| spelling | doaj.art-85ca0ebe848f4b3096820138062853062023-11-23T19:13:08ZengMDPI AGSymmetry2073-89942022-06-01146124110.3390/sym140612413D Localization Method of Partial Discharge in Air-Insulated Substation Based on Improved Particle Swarm Optimization AlgorithmPengfei Li0Xinjie Peng1Kaiyang Yin2Yaxu Xue3Rongqing Wang4Zhengsen Ma5School of Electrical and Mechanical Engineering, Pingdingshan University, Pingdingshan 467000, ChinaSchool of Electrical and Mechanical Engineering, Pingdingshan University, Pingdingshan 467000, ChinaSchool of Electrical and Mechanical Engineering, Pingdingshan University, Pingdingshan 467000, ChinaSchool of Electrical and Mechanical Engineering, Pingdingshan University, Pingdingshan 467000, ChinaSchool of Electrical and Mechanical Engineering, Pingdingshan University, Pingdingshan 467000, ChinaSchool of Electrical and Mechanical Engineering, Pingdingshan University, Pingdingshan 467000, ChinaPartial discharge (PD) localization in an air-insulated substation (AIS) can be used to assess insulation conditions efficiently. Many localization methods have been reported during the past few years. However, the error of the localization results has been large or the localization algorithm too inefficient. The reason is that the localization equation set is nonlinear and non-symmetrical. In this paper, an improved particle swarm optimization (PSO) algorithm is proposed to improve the localization accuracy in 3D. Firstly, the proposed localization method is based on the symmetrical antenna array and the location error distribution is analyzed. Secondly, the objective function of PSO is constructed using the error distribution. Specifically, the 3D location target is divided into two steps—plane coordinates and height. The two targets are optimized respectively. To verify the method, a test is carried out by a prefabricated fault bushing in the laboratory to compare with the existing methods. According to the results, the localization error is 0.21 m, which can locate the PD source accurately. A complete calculation takes 42.29 s, and the efficiency is increased by 16.13 times under the same accuracy. The comparison results show that the proposed method can greatly improve the efficiency while ensuring accuracy.https://www.mdpi.com/2073-8994/14/6/1241partial discharge localizationimproved particle swarm optimization algorithmair-insulated substationultra-high frequency method |
| spellingShingle | Pengfei Li Xinjie Peng Kaiyang Yin Yaxu Xue Rongqing Wang Zhengsen Ma 3D Localization Method of Partial Discharge in Air-Insulated Substation Based on Improved Particle Swarm Optimization Algorithm Symmetry partial discharge localization improved particle swarm optimization algorithm air-insulated substation ultra-high frequency method |
| title | 3D Localization Method of Partial Discharge in Air-Insulated Substation Based on Improved Particle Swarm Optimization Algorithm |
| title_full | 3D Localization Method of Partial Discharge in Air-Insulated Substation Based on Improved Particle Swarm Optimization Algorithm |
| title_fullStr | 3D Localization Method of Partial Discharge in Air-Insulated Substation Based on Improved Particle Swarm Optimization Algorithm |
| title_full_unstemmed | 3D Localization Method of Partial Discharge in Air-Insulated Substation Based on Improved Particle Swarm Optimization Algorithm |
| title_short | 3D Localization Method of Partial Discharge in Air-Insulated Substation Based on Improved Particle Swarm Optimization Algorithm |
| title_sort | 3d localization method of partial discharge in air insulated substation based on improved particle swarm optimization algorithm |
| topic | partial discharge localization improved particle swarm optimization algorithm air-insulated substation ultra-high frequency method |
| url | https://www.mdpi.com/2073-8994/14/6/1241 |
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