{"title":"负荷控制行为选择的两阶段决策支持方法","authors":"C. H. Antunes, Á. Gomes, A. Martins","doi":"10.1109/IEMCE.2008.4617942","DOIUrl":null,"url":null,"abstract":"A two-phase approach to provide decision support in the design and selection of load control actions in electricity networks is described. The first phase consists in the use of a multiple objective genetic algorithm, coupled with physically-based load models, for the design and selection of a set of potential non-dominated solutions (load control actions). The second phase performs the selection of the control action, to be implemented over groups of electrical loads, based on the analysis of indifference regions associated to each alternative in a parametric diagram.","PeriodicalId":408691,"journal":{"name":"2008 IEEE International Engineering Management Conference","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A two-phase decision support approach for the selection of load control actions\",\"authors\":\"C. H. Antunes, Á. Gomes, A. Martins\",\"doi\":\"10.1109/IEMCE.2008.4617942\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A two-phase approach to provide decision support in the design and selection of load control actions in electricity networks is described. The first phase consists in the use of a multiple objective genetic algorithm, coupled with physically-based load models, for the design and selection of a set of potential non-dominated solutions (load control actions). The second phase performs the selection of the control action, to be implemented over groups of electrical loads, based on the analysis of indifference regions associated to each alternative in a parametric diagram.\",\"PeriodicalId\":408691,\"journal\":{\"name\":\"2008 IEEE International Engineering Management Conference\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International Engineering Management Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMCE.2008.4617942\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Engineering Management Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMCE.2008.4617942","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A two-phase decision support approach for the selection of load control actions
A two-phase approach to provide decision support in the design and selection of load control actions in electricity networks is described. The first phase consists in the use of a multiple objective genetic algorithm, coupled with physically-based load models, for the design and selection of a set of potential non-dominated solutions (load control actions). The second phase performs the selection of the control action, to be implemented over groups of electrical loads, based on the analysis of indifference regions associated to each alternative in a parametric diagram.
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