{"title":"为提高可靠性和故障区段估计而进行的配电网故障指示器分配","authors":"R. Dashti, J. Sadeh","doi":"10.1109/APAP.2011.6180595","DOIUrl":null,"url":null,"abstract":"Fault indicator (FI) is used in impedance-based methods for improving fault section estimation in power distribution feeders. The location and number of FIs affects on the reliability indices and can extra charge the distribution companies and consumers. In this paper, the optimal location and number of fault indicator (FI) are determined in Power Distribution Network (PDN) with special economical combined objective function. In this objective function, four imposed costs on distribution companies and consumers are taken into account. For solving this problem, a powerful method i.e. Genetic Algorithm ( GA) is used. Then the proposed method is tested on the two case studies, which one of them is a real distribution feeder of Bushehr power distribution company in Iran. At the end the results are presented discussed.","PeriodicalId":435652,"journal":{"name":"2011 International Conference on Advanced Power System Automation and Protection","volume":"114 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Fault indicator allocation in power distribution network for improving reliability and fault section estimation\",\"authors\":\"R. Dashti, J. Sadeh\",\"doi\":\"10.1109/APAP.2011.6180595\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fault indicator (FI) is used in impedance-based methods for improving fault section estimation in power distribution feeders. The location and number of FIs affects on the reliability indices and can extra charge the distribution companies and consumers. In this paper, the optimal location and number of fault indicator (FI) are determined in Power Distribution Network (PDN) with special economical combined objective function. In this objective function, four imposed costs on distribution companies and consumers are taken into account. For solving this problem, a powerful method i.e. Genetic Algorithm ( GA) is used. Then the proposed method is tested on the two case studies, which one of them is a real distribution feeder of Bushehr power distribution company in Iran. At the end the results are presented discussed.\",\"PeriodicalId\":435652,\"journal\":{\"name\":\"2011 International Conference on Advanced Power System Automation and Protection\",\"volume\":\"114 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"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.2011.6180595\",\"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.2011.6180595","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fault indicator allocation in power distribution network for improving reliability and fault section estimation
Fault indicator (FI) is used in impedance-based methods for improving fault section estimation in power distribution feeders. The location and number of FIs affects on the reliability indices and can extra charge the distribution companies and consumers. In this paper, the optimal location and number of fault indicator (FI) are determined in Power Distribution Network (PDN) with special economical combined objective function. In this objective function, four imposed costs on distribution companies and consumers are taken into account. For solving this problem, a powerful method i.e. Genetic Algorithm ( GA) is used. Then the proposed method is tested on the two case studies, which one of them is a real distribution feeder of Bushehr power distribution company in Iran. At the end the results are presented discussed.