Error Status Evaluation Method for Protection Measurement Circuit Based on Improved ED and CM-BPNN Algorithms
The accurate evaluation of the error status of the protection measurement circuit can help to understand the operation status of the protection devices, and to timely and effectively find the hidden dangers of the protection devices. This paper proposes an error status evaluation method for substati...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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State Grid Energy Research Institute
2023-11-01
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| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202308052 |
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| _version_ | 1850031927129538560 |
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| author | Yawen YI Jingpu ZHAO Can LIU Xinxin JIANG Fangjiu LI Zhenxing LI |
| author_facet | Yawen YI Jingpu ZHAO Can LIU Xinxin JIANG Fangjiu LI Zhenxing LI |
| author_sort | Yawen YI |
| collection | DOAJ |
| description | The accurate evaluation of the error status of the protection measurement circuit can help to understand the operation status of the protection devices, and to timely and effectively find the hidden dangers of the protection devices. This paper proposes an error status evaluation method for substation protection measurement circuit based on improved ED and CM-BPNN algorithms. Firstly, the normalization principle of different index data is formulated for the measurement data. Secondly, the improved Euclidean distance is introduced as the starting criterion for error evaluation. According to the degree of influence on the performance of the protection action, the error status is graded, and the cloud model is introduced to calculate the error status membership degree of the secondary index. Finally, the positioning mapping results corresponding to each error status are determined, and the BP neural network model is constructed, which is then used to evaluate and locate the unknown error status of the current/voltage of the protection devices. Based on PSCAD software, a 220kV substation model was constructed to verify the effectiveness of the proposed method. |
| format | Article |
| id | doaj-art-b4e90c650b7544ab8ae7987e41c9d5b0 |
| institution | DOAJ |
| issn | 1004-9649 |
| language | zho |
| publishDate | 2023-11-01 |
| publisher | State Grid Energy Research Institute |
| record_format | Article |
| series | Zhongguo dianli |
| spelling | doaj-art-b4e90c650b7544ab8ae7987e41c9d5b02025-08-20T02:58:50ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492023-11-01561114315010.11930/j.issn.1004-9649.202308052zgdl-56-11-yiyawenError Status Evaluation Method for Protection Measurement Circuit Based on Improved ED and CM-BPNN AlgorithmsYawen YI0Jingpu ZHAO1Can LIU2Xinxin JIANG3Fangjiu LI4Zhenxing LI5School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, ChinaChina Yangtze Power Co., Ltd., Wuhan 430010, ChinaCollege of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, ChinaChina Yangtze Power Co., Ltd., Wuhan 430010, ChinaChina Yangtze Power Co., Ltd., Wuhan 430010, ChinaCollege of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, ChinaThe accurate evaluation of the error status of the protection measurement circuit can help to understand the operation status of the protection devices, and to timely and effectively find the hidden dangers of the protection devices. This paper proposes an error status evaluation method for substation protection measurement circuit based on improved ED and CM-BPNN algorithms. Firstly, the normalization principle of different index data is formulated for the measurement data. Secondly, the improved Euclidean distance is introduced as the starting criterion for error evaluation. According to the degree of influence on the performance of the protection action, the error status is graded, and the cloud model is introduced to calculate the error status membership degree of the secondary index. Finally, the positioning mapping results corresponding to each error status are determined, and the BP neural network model is constructed, which is then used to evaluate and locate the unknown error status of the current/voltage of the protection devices. Based on PSCAD software, a 220kV substation model was constructed to verify the effectiveness of the proposed method.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202308052protection measurement circuitimproved euclidean distancecloud modelneural network |
| spellingShingle | Yawen YI Jingpu ZHAO Can LIU Xinxin JIANG Fangjiu LI Zhenxing LI Error Status Evaluation Method for Protection Measurement Circuit Based on Improved ED and CM-BPNN Algorithms Zhongguo dianli protection measurement circuit improved euclidean distance cloud model neural network |
| title | Error Status Evaluation Method for Protection Measurement Circuit Based on Improved ED and CM-BPNN Algorithms |
| title_full | Error Status Evaluation Method for Protection Measurement Circuit Based on Improved ED and CM-BPNN Algorithms |
| title_fullStr | Error Status Evaluation Method for Protection Measurement Circuit Based on Improved ED and CM-BPNN Algorithms |
| title_full_unstemmed | Error Status Evaluation Method for Protection Measurement Circuit Based on Improved ED and CM-BPNN Algorithms |
| title_short | Error Status Evaluation Method for Protection Measurement Circuit Based on Improved ED and CM-BPNN Algorithms |
| title_sort | error status evaluation method for protection measurement circuit based on improved ed and cm bpnn algorithms |
| topic | protection measurement circuit improved euclidean distance cloud model neural network |
| url | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202308052 |
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