State Evaluation and Risk Assessment for Relay Protection System
In order to improve the evaluation accuracy of the relay protection system and the adaptability of the evaluation method,a risk evaluation model of the relay protection system based on the semi-supervised Mahalanobis distance machine learning algorithm is proposed.First，according to the network t...
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| Format: | Article |
| Language: | zho |
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Harbin University of Science and Technology Publications
2023-02-01
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| Series: | Journal of Harbin University of Science and Technology |
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| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2181 |
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| _version_ | 1849317156485857280 |
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| author | WANG Shenghe YE Yuanbo LIU Hongjun XIE Min CONG Lei CHEN Jun |
| author_facet | WANG Shenghe YE Yuanbo LIU Hongjun XIE Min CONG Lei CHEN Jun |
| author_sort | WANG Shenghe |
| collection | DOAJ |
| description |
In order to improve the evaluation accuracy of the relay protection system and the adaptability of the evaluation method,a risk evaluation model of the relay protection system based on the semi-supervised Mahalanobis distance machine learning algorithm is proposed.First，according to the network topology of the smart substation， the evaluation indicators of the relay protection system are analyzed; second， on the basis of the analytic hierarchy process，the evaluation results are used as the training set for fuzzy comprehensive evaluation. The performance of supervised multiple regression analysis algorithm and unsupervised k-means algorithm is compared with that of the new algorithm proposed in this paper in terms of accuracy, processing time and feasibility.The comparison results show that the proposed algorithm has better evaluation accuracy and stronger adaptability compared to the other two algorithms. |
| format | Article |
| id | doaj-art-63749a085f0f4e56b7dd03c851c390b7 |
| institution | Kabale University |
| issn | 1007-2683 |
| language | zho |
| publishDate | 2023-02-01 |
| publisher | Harbin University of Science and Technology Publications |
| record_format | Article |
| series | Journal of Harbin University of Science and Technology |
| spelling | doaj-art-63749a085f0f4e56b7dd03c851c390b72025-08-20T03:51:19ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832023-02-012801889610.15938/j.jhust.2023.01.011State Evaluation and Risk Assessment for Relay Protection SystemWANG Shenghe0YE Yuanbo1LIU Hongjun2XIE Min3CONG Lei4CHEN Jun5State Grid Anhui Electric Power Limited Company， Hefei 230022， ChinaState Grid Anhui Electric Power Limited Company， Hefei 230022， ChinaCYG SUNRI Co.，Ltd.Shenzhen 518057State Grid Anhui Electric Power Limited Company， Hefei 230022， ChinaCYG SUNRI Co.，Ltd.Shenzhen 518057CYG SUNRI Co.，Ltd.Shenzhen 518057 In order to improve the evaluation accuracy of the relay protection system and the adaptability of the evaluation method,a risk evaluation model of the relay protection system based on the semi-supervised Mahalanobis distance machine learning algorithm is proposed.First，according to the network topology of the smart substation， the evaluation indicators of the relay protection system are analyzed; second， on the basis of the analytic hierarchy process，the evaluation results are used as the training set for fuzzy comprehensive evaluation. The performance of supervised multiple regression analysis algorithm and unsupervised k-means algorithm is compared with that of the new algorithm proposed in this paper in terms of accuracy, processing time and feasibility.The comparison results show that the proposed algorithm has better evaluation accuracy and stronger adaptability compared to the other two algorithms. https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2181relay protectionrisk assessmentsemi-supervised mahalanobis distanceaccuracy |
| spellingShingle | WANG Shenghe YE Yuanbo LIU Hongjun XIE Min CONG Lei CHEN Jun State Evaluation and Risk Assessment for Relay Protection System Journal of Harbin University of Science and Technology relay protection risk assessment semi-supervised mahalanobis distance accuracy |
| title | State Evaluation and Risk Assessment for Relay Protection System |
| title_full | State Evaluation and Risk Assessment for Relay Protection System |
| title_fullStr | State Evaluation and Risk Assessment for Relay Protection System |
| title_full_unstemmed | State Evaluation and Risk Assessment for Relay Protection System |
| title_short | State Evaluation and Risk Assessment for Relay Protection System |
| title_sort | state evaluation and risk assessment for relay protection system |
| topic | relay protection risk assessment semi-supervised mahalanobis distance accuracy |
| url | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2181 |
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