José A. G. Cararo, Alan H. F. Silva, J. C. Neto, Marcio R. C. Reis, W. Calixto
{"title":"Methodology for voltage adequacy using photovoltaic distributed generation","authors":"José A. G. Cararo, Alan H. F. Silva, J. C. Neto, Marcio R. C. Reis, W. Calixto","doi":"10.1109/EEEIC.2019.8783486","DOIUrl":null,"url":null,"abstract":"This paper presents a methodology of placement of multiple distributed-generation photovoltaic (DGPV) for minimization of voltage transgression in a power distribution real network. Currently, there are several methodologies for placement of distributed generators, still being an open question for the scientific community. The goal of this paper is to optimize siting, sizing and amount of multiple DGPV. The evaluation function used corresponds to the sum of the voltage transgressions in each phase, in a constrained optimization. The genetic algorithm was used in the optimization, besides a hybridized method based on genetic algorithm and Nelder–Mead method. At the end of the simulations, a reduction in the value of the evaluation function was obtained, which resulted a significant increase in the number of electrical nodes with adequate voltage levels.","PeriodicalId":422977,"journal":{"name":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EEEIC.2019.8783486","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
This paper presents a methodology of placement of multiple distributed-generation photovoltaic (DGPV) for minimization of voltage transgression in a power distribution real network. Currently, there are several methodologies for placement of distributed generators, still being an open question for the scientific community. The goal of this paper is to optimize siting, sizing and amount of multiple DGPV. The evaluation function used corresponds to the sum of the voltage transgressions in each phase, in a constrained optimization. The genetic algorithm was used in the optimization, besides a hybridized method based on genetic algorithm and Nelder–Mead method. At the end of the simulations, a reduction in the value of the evaluation function was obtained, which resulted a significant increase in the number of electrical nodes with adequate voltage levels.