Tingting Bo, Qing Chen, Zhanjun Gao, Chaoqun Zhu, Pu Zhao, Yi Zhu
{"title":"基于粗糙集理论的配电网故障模糊综合风险评估","authors":"Tingting Bo, Qing Chen, Zhanjun Gao, Chaoqun Zhu, Pu Zhao, Yi Zhu","doi":"10.1109/APPEEC.2015.7380966","DOIUrl":null,"url":null,"abstract":"For disadvantages such as plenty of low level risk factors, strong fuzzy characteristics and regional differences between urban and rural areas in traditional distribution network fault risk assessment, a comprehensive risk assessment method with multi-factor influence and multi-region effect is proposed to describe different influence on fault risk assessment for distribution network based on rough set theory and fuzzy comprehensive assessment method. The main influence factors are acquired based on attribute reduction in rough set, and then new comprehensive risk assessment model is established by introducing risk assessment theory into it. Lastly, compare and analyze the results of different areas to acquire risk assessment and indicate feasibility and effectiveness of the combined comprehensive risk assessment method.","PeriodicalId":439089,"journal":{"name":"2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Fuzzy comprehensive risk assessment of distribution network fault based on rough set theory\",\"authors\":\"Tingting Bo, Qing Chen, Zhanjun Gao, Chaoqun Zhu, Pu Zhao, Yi Zhu\",\"doi\":\"10.1109/APPEEC.2015.7380966\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For disadvantages such as plenty of low level risk factors, strong fuzzy characteristics and regional differences between urban and rural areas in traditional distribution network fault risk assessment, a comprehensive risk assessment method with multi-factor influence and multi-region effect is proposed to describe different influence on fault risk assessment for distribution network based on rough set theory and fuzzy comprehensive assessment method. The main influence factors are acquired based on attribute reduction in rough set, and then new comprehensive risk assessment model is established by introducing risk assessment theory into it. Lastly, compare and analyze the results of different areas to acquire risk assessment and indicate feasibility and effectiveness of the combined comprehensive risk assessment method.\",\"PeriodicalId\":439089,\"journal\":{\"name\":\"2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)\",\"volume\":\"112 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APPEEC.2015.7380966\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APPEEC.2015.7380966","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy comprehensive risk assessment of distribution network fault based on rough set theory
For disadvantages such as plenty of low level risk factors, strong fuzzy characteristics and regional differences between urban and rural areas in traditional distribution network fault risk assessment, a comprehensive risk assessment method with multi-factor influence and multi-region effect is proposed to describe different influence on fault risk assessment for distribution network based on rough set theory and fuzzy comprehensive assessment method. The main influence factors are acquired based on attribute reduction in rough set, and then new comprehensive risk assessment model is established by introducing risk assessment theory into it. Lastly, compare and analyze the results of different areas to acquire risk assessment and indicate feasibility and effectiveness of the combined comprehensive risk assessment method.