Lightning Risk Assessment of 10 kV Distribution Line Based on TOPSIS Algorithm Improved by Weighted Mahalanobis Distance
The insulation of overhead line in 10 kV distribution network is unsatisfied and lightning tripping accidents occur frequently in thunderstorm weather. Due to the complexity of large-scale line model construction, it is difficult to realize the risk assessment at the grid level based on physical mod...
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| Format: | Article |
| Language: | zho |
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State Grid Energy Research Institute
2022-04-01
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| Series: | Zhongguo dianli |
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| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202107085 |
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| author | Yan DU Congzhen XIE Yancheng LI Xinhao XIE Le LUAN Simin LUO |
| author_facet | Yan DU Congzhen XIE Yancheng LI Xinhao XIE Le LUAN Simin LUO |
| author_sort | Yan DU |
| collection | DOAJ |
| description | The insulation of overhead line in 10 kV distribution network is unsatisfied and lightning tripping accidents occur frequently in thunderstorm weather. Due to the complexity of large-scale line model construction, it is difficult to realize the risk assessment at the grid level based on physical model, such as lightning tripping rate. Besides, due to the lack of monitoring devices in the distribution network, the data quality is undesirable, which seriously affects the calculation accuracy of the model. In this paper, a lightning risk assessment method for 10 kV distribution network was proposed. Based on multi-dimensional data such as line operation, and meteorological environment information, the lightning assessment for large-scale distribution network lines was carried out under the condition of low quality data. Setting the geographical grid as evaluation unit, this paper extracted ten lightning-strike risk indexes from three dimensions, including meteorological, corridor environment, and characteristic parameters of line. Then TOPSIS algorithm improved by weighted Mahalanobis distance was used to build the lightning risk assessment system of 10 kV distribution network, and the risk was scaled. Finally, risk assessment results were verified by historical trip statistics in Guangzhou 10 kV distribution network, and the effectiveness of the assessment method was proved. |
| format | Article |
| id | doaj-art-a74b413d71b84c72a3c30c2124d353c4 |
| institution | DOAJ |
| issn | 1004-9649 |
| language | zho |
| publishDate | 2022-04-01 |
| publisher | State Grid Energy Research Institute |
| record_format | Article |
| series | Zhongguo dianli |
| spelling | doaj-art-a74b413d71b84c72a3c30c2124d353c42025-08-20T02:52:24ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492022-04-0155410811610.11930/j.issn.1004-9649.202107085zgdl-55-3-duyanLightning Risk Assessment of 10 kV Distribution Line Based on TOPSIS Algorithm Improved by Weighted Mahalanobis DistanceYan DU0Congzhen XIE1Yancheng LI2Xinhao XIE3Le LUAN4Simin LUO5School of Electric Power, South China University of Technology, Guangzhou 510641, ChinaSchool of Electric Power, South China University of Technology, Guangzhou 510641, ChinaSchool of Electric Power, South China University of Technology, Guangzhou 510641, ChinaSchool of Electric Power, South China University of Technology, Guangzhou 510641, ChinaGuangzhou Power Supply Bureau, Guangdong Power Grid Co., Ltd., Guangzhou 510013, ChinaGuangzhou Power Supply Bureau, Guangdong Power Grid Co., Ltd., Guangzhou 510013, ChinaThe insulation of overhead line in 10 kV distribution network is unsatisfied and lightning tripping accidents occur frequently in thunderstorm weather. Due to the complexity of large-scale line model construction, it is difficult to realize the risk assessment at the grid level based on physical model, such as lightning tripping rate. Besides, due to the lack of monitoring devices in the distribution network, the data quality is undesirable, which seriously affects the calculation accuracy of the model. In this paper, a lightning risk assessment method for 10 kV distribution network was proposed. Based on multi-dimensional data such as line operation, and meteorological environment information, the lightning assessment for large-scale distribution network lines was carried out under the condition of low quality data. Setting the geographical grid as evaluation unit, this paper extracted ten lightning-strike risk indexes from three dimensions, including meteorological, corridor environment, and characteristic parameters of line. Then TOPSIS algorithm improved by weighted Mahalanobis distance was used to build the lightning risk assessment system of 10 kV distribution network, and the risk was scaled. Finally, risk assessment results were verified by historical trip statistics in Guangzhou 10 kV distribution network, and the effectiveness of the assessment method was proved.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202107085combination weightweighted mahalanobis distancetopsisrisk assessmentlightning strike tripping |
| spellingShingle | Yan DU Congzhen XIE Yancheng LI Xinhao XIE Le LUAN Simin LUO Lightning Risk Assessment of 10 kV Distribution Line Based on TOPSIS Algorithm Improved by Weighted Mahalanobis Distance Zhongguo dianli combination weight weighted mahalanobis distance topsis risk assessment lightning strike tripping |
| title | Lightning Risk Assessment of 10 kV Distribution Line Based on TOPSIS Algorithm Improved by Weighted Mahalanobis Distance |
| title_full | Lightning Risk Assessment of 10 kV Distribution Line Based on TOPSIS Algorithm Improved by Weighted Mahalanobis Distance |
| title_fullStr | Lightning Risk Assessment of 10 kV Distribution Line Based on TOPSIS Algorithm Improved by Weighted Mahalanobis Distance |
| title_full_unstemmed | Lightning Risk Assessment of 10 kV Distribution Line Based on TOPSIS Algorithm Improved by Weighted Mahalanobis Distance |
| title_short | Lightning Risk Assessment of 10 kV Distribution Line Based on TOPSIS Algorithm Improved by Weighted Mahalanobis Distance |
| title_sort | lightning risk assessment of 10 kv distribution line based on topsis algorithm improved by weighted mahalanobis distance |
| topic | combination weight weighted mahalanobis distance topsis risk assessment lightning strike tripping |
| url | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202107085 |
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