Guilherme Pauli, Edison Antonio Cardoso Aranha Neto, D. Tenfen
{"title":"PMOGA应用于配电系统自动重合闸分配问题","authors":"Guilherme Pauli, Edison Antonio Cardoso Aranha Neto, D. Tenfen","doi":"10.14210/cotb.v13.p324-326","DOIUrl":null,"url":null,"abstract":"The planning of electrical distribution systems is essential and achallenge for Electric Power Distribution Companies along withthe need to improve the quality of the energy distribution service.As presented in the recent literature, the use of switches andprotection devices can improve the quality of the electricitydistribution service and, thus, system reliability indices. The mainobjective of this work is to propose a model to optimally allocatereclosers in distribution feeders with a Multi-Objective GeneticAlgorithm (MOGA) that is modeled, validated by exhaustivesearch, when possible, due to computational limitation, proving itseffectiveness. Among the possibilities, the Pareto Multi-objectiveOptimization Genetic Algorithm (PMOGA) was chosen for thiswork. Then, the developed methodology was applied in real feederswith and without Distributed Generation. Finally, it is concludedthat the proposed model for the allocation of reclosers is adequateto solve the problem and positively affects the reliability and canbe used in most of the current electricity distribution networks.","PeriodicalId":375380,"journal":{"name":"Anais do XIII Computer on the Beach - COTB'22","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"PMOGA Aplicado ao Problema de Alocação de Religadores Automáticos em Sistemas de Distribuição Elétrica\",\"authors\":\"Guilherme Pauli, Edison Antonio Cardoso Aranha Neto, D. Tenfen\",\"doi\":\"10.14210/cotb.v13.p324-326\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The planning of electrical distribution systems is essential and achallenge for Electric Power Distribution Companies along withthe need to improve the quality of the energy distribution service.As presented in the recent literature, the use of switches andprotection devices can improve the quality of the electricitydistribution service and, thus, system reliability indices. The mainobjective of this work is to propose a model to optimally allocatereclosers in distribution feeders with a Multi-Objective GeneticAlgorithm (MOGA) that is modeled, validated by exhaustivesearch, when possible, due to computational limitation, proving itseffectiveness. Among the possibilities, the Pareto Multi-objectiveOptimization Genetic Algorithm (PMOGA) was chosen for thiswork. Then, the developed methodology was applied in real feederswith and without Distributed Generation. Finally, it is concludedthat the proposed model for the allocation of reclosers is adequateto solve the problem and positively affects the reliability and canbe used in most of the current electricity distribution networks.\",\"PeriodicalId\":375380,\"journal\":{\"name\":\"Anais do XIII Computer on the Beach - COTB'22\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Anais do XIII Computer on the Beach - COTB'22\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14210/cotb.v13.p324-326\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anais do XIII Computer on the Beach - COTB'22","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14210/cotb.v13.p324-326","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
PMOGA Aplicado ao Problema de Alocação de Religadores Automáticos em Sistemas de Distribuição Elétrica
The planning of electrical distribution systems is essential and achallenge for Electric Power Distribution Companies along withthe need to improve the quality of the energy distribution service.As presented in the recent literature, the use of switches andprotection devices can improve the quality of the electricitydistribution service and, thus, system reliability indices. The mainobjective of this work is to propose a model to optimally allocatereclosers in distribution feeders with a Multi-Objective GeneticAlgorithm (MOGA) that is modeled, validated by exhaustivesearch, when possible, due to computational limitation, proving itseffectiveness. Among the possibilities, the Pareto Multi-objectiveOptimization Genetic Algorithm (PMOGA) was chosen for thiswork. Then, the developed methodology was applied in real feederswith and without Distributed Generation. Finally, it is concludedthat the proposed model for the allocation of reclosers is adequateto solve the problem and positively affects the reliability and canbe used in most of the current electricity distribution networks.