Abdelkrim Ali Zazou, E. Grolleau, Emilie Chevrier, P. Richard, J. Gaubert, Ladjel Bellatreche
{"title":"Power distribution network reconfiguration based on min-cost flow problem","authors":"Abdelkrim Ali Zazou, E. Grolleau, Emilie Chevrier, P. Richard, J. Gaubert, Ladjel Bellatreche","doi":"10.1109/INDIN.2016.7819174","DOIUrl":null,"url":null,"abstract":"In this paper a network reconfiguration model aimed to be used in an industrial context is presented. It is based on a min-cost flow problem (MCFP) and a simplified power flow calculation. Mixed Integer Quadratic Constrained Programming (MIQCP) and Mixed Integer Non linear Programming (MINLP) are used and compared to compute the network reconfiguration with off-the-shelf optimization solvers. Two test cases are presented, a small academic network and a real case study. The paper shows experimentally that simplification on model level can be more efficient than simplification on the solving level for real world problems.","PeriodicalId":421680,"journal":{"name":"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDIN.2016.7819174","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper a network reconfiguration model aimed to be used in an industrial context is presented. It is based on a min-cost flow problem (MCFP) and a simplified power flow calculation. Mixed Integer Quadratic Constrained Programming (MIQCP) and Mixed Integer Non linear Programming (MINLP) are used and compared to compute the network reconfiguration with off-the-shelf optimization solvers. Two test cases are presented, a small academic network and a real case study. The paper shows experimentally that simplification on model level can be more efficient than simplification on the solving level for real world problems.