Oscar F. Becerra Angarita, Roberto Chouhy Leborgne, D. da Silva Gazzana, Cássio Bortolosso
{"title":"Power loss and voltage variation in distribution systems with optimal allocation of distributed generation","authors":"Oscar F. Becerra Angarita, Roberto Chouhy Leborgne, D. da Silva Gazzana, Cássio Bortolosso","doi":"10.1109/ISGT-LA.2015.7381156","DOIUrl":null,"url":null,"abstract":"This article presents a methodology for optimal distributed generation (DG) allocation and sizing in distribution systems, in order to minimize the electrical network losses and keep acceptable voltage profiles. The optimization problem considered equality and inequality constrains, 24 hours power load levels, operational voltage limits, conventional power flow, DG placement with binary variables and sizing of active and reactive power. The optimization problem is solved by mixed integer nonlinear programming (MINPL) using KNITRO solver.","PeriodicalId":345318,"journal":{"name":"2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISGT-LA.2015.7381156","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
This article presents a methodology for optimal distributed generation (DG) allocation and sizing in distribution systems, in order to minimize the electrical network losses and keep acceptable voltage profiles. The optimization problem considered equality and inequality constrains, 24 hours power load levels, operational voltage limits, conventional power flow, DG placement with binary variables and sizing of active and reactive power. The optimization problem is solved by mixed integer nonlinear programming (MINPL) using KNITRO solver.