{"title":"基于偏差函数和联合熵的电能质量模糊综合评价","authors":"Zhengming Li, Jianrong Qin, T. Pan","doi":"10.1109/APAP.2011.6180366","DOIUrl":null,"url":null,"abstract":"To obtain a more objective and scientific result of power quality (PQ) fuzzy synthetic evaluation, this paper presents a combined weighing method based on Deviation Function and Joint-Entropy to determine weights of PQ indices in which the whole-warp between the ideal combination of the estimated weight vectors and the combination determined by other methods became minimal and the overall situation was the least in this method. Thus, the optimization model about the weight vectors combination was constructed. An example is also given to demonstrate the precision, reliability and validity of the method.","PeriodicalId":435652,"journal":{"name":"2011 International Conference on Advanced Power System Automation and Protection","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fuzzy synthetic evaluation of power quality based on Deviation Function and Joint-Entropy\",\"authors\":\"Zhengming Li, Jianrong Qin, T. Pan\",\"doi\":\"10.1109/APAP.2011.6180366\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To obtain a more objective and scientific result of power quality (PQ) fuzzy synthetic evaluation, this paper presents a combined weighing method based on Deviation Function and Joint-Entropy to determine weights of PQ indices in which the whole-warp between the ideal combination of the estimated weight vectors and the combination determined by other methods became minimal and the overall situation was the least in this method. Thus, the optimization model about the weight vectors combination was constructed. An example is also given to demonstrate the precision, reliability and validity of the method.\",\"PeriodicalId\":435652,\"journal\":{\"name\":\"2011 International Conference on Advanced Power System Automation and Protection\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Advanced Power System Automation and Protection\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APAP.2011.6180366\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Advanced Power System Automation and Protection","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APAP.2011.6180366","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy synthetic evaluation of power quality based on Deviation Function and Joint-Entropy
To obtain a more objective and scientific result of power quality (PQ) fuzzy synthetic evaluation, this paper presents a combined weighing method based on Deviation Function and Joint-Entropy to determine weights of PQ indices in which the whole-warp between the ideal combination of the estimated weight vectors and the combination determined by other methods became minimal and the overall situation was the least in this method. Thus, the optimization model about the weight vectors combination was constructed. An example is also given to demonstrate the precision, reliability and validity of the method.