A. L. Rojas, S. Koziel, M. F. Abdel-Fattah, G. Gutiérrez-Alcaraz
{"title":"Distribution Network Reconfiguration for Voltage Stability Enhancement via Feasibility-Preserving Evolutionary Optimization","authors":"A. L. Rojas, S. Koziel, M. F. Abdel-Fattah, G. Gutiérrez-Alcaraz","doi":"10.1109/EPEC.2018.8598332","DOIUrl":null,"url":null,"abstract":"This paper addresses a problem of power distribution network optimization, specifically, an improvement of the voltage stability index (VSI). A customized algorithm, referred to as feasibility preserving evolutionary optimization (FPEO), is developed and employed that involves recombination and mutation operators tailored to maintain the radial architecture of the network and enhances VSI through network reconfiguration. The algorithm performance is validated using the three standard test distribution systems, 33-, 69-, and 119-bus networks. Excellent repeatability of results is achieved as demonstrated through comprehensive statistical analysis. The optimal reconfiguration found by the proposed algorithm significantly improves the VSI of the buses most prone to voltage collapse. At the same time, the voltage profile improvement is obtained along with reduction of the power losses.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Electrical Power and Energy Conference (EPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EPEC.2018.8598332","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper addresses a problem of power distribution network optimization, specifically, an improvement of the voltage stability index (VSI). A customized algorithm, referred to as feasibility preserving evolutionary optimization (FPEO), is developed and employed that involves recombination and mutation operators tailored to maintain the radial architecture of the network and enhances VSI through network reconfiguration. The algorithm performance is validated using the three standard test distribution systems, 33-, 69-, and 119-bus networks. Excellent repeatability of results is achieved as demonstrated through comprehensive statistical analysis. The optimal reconfiguration found by the proposed algorithm significantly improves the VSI of the buses most prone to voltage collapse. At the same time, the voltage profile improvement is obtained along with reduction of the power losses.