Distribution Network Fault Risk Assessment Method Considering Difference in Entropy Value of Rare Factors
External factors such as bad weather and external failure seriously affect the reliability of a distribution network. To comprehensively and accurately assess the risk of faults in a distribution network, this paper proposes a fault risk assessment method that considers the difference in entropy val...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Shanghai Jiao Tong University
2024-12-01
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| Series: | Shanghai Jiaotong Daxue xuebao |
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| Online Access: | https://xuebao.sjtu.edu.cn/article/2024/1006-2467/1006-2467-58-12-1857.shtml |
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| author | HUANG Junxian, CHEN Chun, CAO Yijia, QUAN Shaoli, WANG Yi |
| author_facet | HUANG Junxian, CHEN Chun, CAO Yijia, QUAN Shaoli, WANG Yi |
| author_sort | HUANG Junxian, CHEN Chun, CAO Yijia, QUAN Shaoli, WANG Yi |
| collection | DOAJ |
| description | External factors such as bad weather and external failure seriously affect the reliability of a distribution network. To comprehensively and accurately assess the risk of faults in a distribution network, this paper proposes a fault risk assessment method that considers the difference in entropy value of rare factors. This method uses K-means clustering algorithm to classify failures based on their consequences and an improved association rule mining algorithm to analyze rare environmental factors and evaluate high-risk and low-probability factors, so as to realize the quantitative analysis of the association between rare factors and risk levels. By combining the Pearson correlation coefficient, the correlation of each environmental feature is analyzed and redundant features at different risk levels are eliminated. Then, the component criticality analysis method is used to adjust the risk weight of rare elements, which can quantitatively measure the degree of correlation between the occurrence of individual elements and the fluctuation of the overall risk of the system. According to the fluctuation difference of different factors, the risk weight optimization matrix considering the difference of rare factors is obtained, and the fault risk assessment model of the distribution network is established, in combination with the information theory. Finally, a distribution network fault risk assessment model is established, of which the accuracy and effectiveness is verified by a case analysis of an actual distribution network in a city. |
| format | Article |
| id | doaj-art-3acdf9389e344c2e94645cbc1853fe25 |
| institution | Kabale University |
| issn | 1006-2467 |
| language | zho |
| publishDate | 2024-12-01 |
| publisher | Editorial Office of Journal of Shanghai Jiao Tong University |
| record_format | Article |
| series | Shanghai Jiaotong Daxue xuebao |
| spelling | doaj-art-3acdf9389e344c2e94645cbc1853fe252025-01-13T09:57:55ZzhoEditorial Office of Journal of Shanghai Jiao Tong UniversityShanghai Jiaotong Daxue xuebao1006-24672024-12-0158121857186710.16183/j.cnki.jsjtu.2023.145Distribution Network Fault Risk Assessment Method Considering Difference in Entropy Value of Rare FactorsHUANG Junxian, CHEN Chun, CAO Yijia, QUAN Shaoli, WANG Yi01. School of Electrical and Information Engineering, Changsha University of Science andTechnology, Changsha 410000, China;2. Economics and Technology Research Institute, State Grid Henan Electric Power Company, Zhengzhou 450052, China;3. State Grid Hubei Electric Power Co., Ltd., Xianning 437000, Hubei, ChinaExternal factors such as bad weather and external failure seriously affect the reliability of a distribution network. To comprehensively and accurately assess the risk of faults in a distribution network, this paper proposes a fault risk assessment method that considers the difference in entropy value of rare factors. This method uses K-means clustering algorithm to classify failures based on their consequences and an improved association rule mining algorithm to analyze rare environmental factors and evaluate high-risk and low-probability factors, so as to realize the quantitative analysis of the association between rare factors and risk levels. By combining the Pearson correlation coefficient, the correlation of each environmental feature is analyzed and redundant features at different risk levels are eliminated. Then, the component criticality analysis method is used to adjust the risk weight of rare elements, which can quantitatively measure the degree of correlation between the occurrence of individual elements and the fluctuation of the overall risk of the system. According to the fluctuation difference of different factors, the risk weight optimization matrix considering the difference of rare factors is obtained, and the fault risk assessment model of the distribution network is established, in combination with the information theory. Finally, a distribution network fault risk assessment model is established, of which the accuracy and effectiveness is verified by a case analysis of an actual distribution network in a city.https://xuebao.sjtu.edu.cn/article/2024/1006-2467/1006-2467-58-12-1857.shtmldistribution network risk assessmentrare risk factorsdifference in risk entropycorrelation analysisweight adjustment optimization |
| spellingShingle | HUANG Junxian, CHEN Chun, CAO Yijia, QUAN Shaoli, WANG Yi Distribution Network Fault Risk Assessment Method Considering Difference in Entropy Value of Rare Factors Shanghai Jiaotong Daxue xuebao distribution network risk assessment rare risk factors difference in risk entropy correlation analysis weight adjustment optimization |
| title | Distribution Network Fault Risk Assessment Method Considering Difference in Entropy Value of Rare Factors |
| title_full | Distribution Network Fault Risk Assessment Method Considering Difference in Entropy Value of Rare Factors |
| title_fullStr | Distribution Network Fault Risk Assessment Method Considering Difference in Entropy Value of Rare Factors |
| title_full_unstemmed | Distribution Network Fault Risk Assessment Method Considering Difference in Entropy Value of Rare Factors |
| title_short | Distribution Network Fault Risk Assessment Method Considering Difference in Entropy Value of Rare Factors |
| title_sort | distribution network fault risk assessment method considering difference in entropy value of rare factors |
| topic | distribution network risk assessment rare risk factors difference in risk entropy correlation analysis weight adjustment optimization |
| url | https://xuebao.sjtu.edu.cn/article/2024/1006-2467/1006-2467-58-12-1857.shtml |
| work_keys_str_mv | AT huangjunxianchenchuncaoyijiaquanshaoliwangyi distributionnetworkfaultriskassessmentmethodconsideringdifferenceinentropyvalueofrarefactors |