Luca Coslovich, M. P. Fanti, P. Mania, G. Piccoli, W. Ukovich
{"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}
引用次数: 5
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.