Luca Coslovich, M. P. Fanti, P. Mania, G. Piccoli, W. Ukovich
{"title":"符合质量要求的配电网络最小损耗重构","authors":"Luca Coslovich, M. P. Fanti, P. Mania, G. Piccoli, W. Ukovich","doi":"10.1109/ACC.2013.6580872","DOIUrl":null,"url":null,"abstract":"This paper deals with the problem of minimizing the losses of electrical distribution systems, in the presence of power generator nodes in a smart-grid paradigm and by considering service quality requirements. The distribution network is modeled as a graph where nodes are the distribution network nodes and branches represent feeder sections. Moreover, the distribution network reconfiguration problem is solved by a mixed-integer quadratic programming and a multi-objective Pareto approach in two stages. First, a mixed-integer quadratic programming problem is defined in order to find a radial operating structure that minimizes the system power losses while satisfying structural and operating constraints. Second, a service quality index is assigned to each solution obtained at the first stage and a Pareto frontier is determined. To evaluate the effectiveness of the proposed approach, a benchmark distribution network is tested.","PeriodicalId":145065,"journal":{"name":"2013 American Control Conference","volume":"68 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Minimum loss reconfiguration of electrical distribution networks with quality requirements\",\"authors\":\"Luca Coslovich, M. P. Fanti, P. Mania, G. Piccoli, W. Ukovich\",\"doi\":\"10.1109/ACC.2013.6580872\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with the problem of minimizing the losses of electrical distribution systems, in the presence of power generator nodes in a smart-grid paradigm and by considering service quality requirements. The distribution network is modeled as a graph where nodes are the distribution network nodes and branches represent feeder sections. Moreover, the distribution network reconfiguration problem is solved by a mixed-integer quadratic programming and a multi-objective Pareto approach in two stages. First, a mixed-integer quadratic programming problem is defined in order to find a radial operating structure that minimizes the system power losses while satisfying structural and operating constraints. Second, a service quality index is assigned to each solution obtained at the first stage and a Pareto frontier is determined. To evaluate the effectiveness of the proposed approach, a benchmark distribution network is tested.\",\"PeriodicalId\":145065,\"journal\":{\"name\":\"2013 American Control Conference\",\"volume\":\"68 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 American Control Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACC.2013.6580872\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 American Control Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACC.2013.6580872","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Minimum loss reconfiguration of electrical distribution networks with quality requirements
This paper deals with the problem of minimizing the losses of electrical distribution systems, in the presence of power generator nodes in a smart-grid paradigm and by considering service quality requirements. The distribution network is modeled as a graph where nodes are the distribution network nodes and branches represent feeder sections. Moreover, the distribution network reconfiguration problem is solved by a mixed-integer quadratic programming and a multi-objective Pareto approach in two stages. First, a mixed-integer quadratic programming problem is defined in order to find a radial operating structure that minimizes the system power losses while satisfying structural and operating constraints. Second, a service quality index is assigned to each solution obtained at the first stage and a Pareto frontier is determined. To evaluate the effectiveness of the proposed approach, a benchmark distribution network is tested.