A. Ramos, C. Generation, Transmission S.A. Brazil, A. J. Batista, R. Leborgne, E. G. Domingues, W. Calixto
{"title":"分布式发电和网络拓扑对电压跌落研究的影响初探","authors":"A. Ramos, C. Generation, Transmission S.A. Brazil, A. J. Batista, R. Leborgne, E. G. Domingues, W. Calixto","doi":"10.24084/REPQJ16.230","DOIUrl":null,"url":null,"abstract":"An analysis of the distributed generation (DG) and network topology impact on studies of voltage sags caused by system faults is presented. The simulation of 62 case studies of phase-to-ground faults on 13.8, 69, 138 and 230 kV transmission lines were performed and the voltage of a 380 V sensitive industrial busbar client was monitored. These lines are part of the electrical system of the city of Goiania, Brazil. For each case study, different fault positions were simulated by considering different DG levels connected to the consumer busbar. Long-term simulation scenarios were obtained by the Monte Carlo method and analyzed based on their cumulative distribution functions and probability density curves of voltage sags. This is one major contribution of this work. Key Words—Power quality, voltage sags, distributed generation, Monte Carlo method, Network Topology.","PeriodicalId":21007,"journal":{"name":"Renewable energy & power quality journal","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A First Approach on the Impact of Distributed Generation and network topology on Studies of Voltage Sags\",\"authors\":\"A. Ramos, C. Generation, Transmission S.A. Brazil, A. J. Batista, R. Leborgne, E. G. Domingues, W. Calixto\",\"doi\":\"10.24084/REPQJ16.230\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An analysis of the distributed generation (DG) and network topology impact on studies of voltage sags caused by system faults is presented. The simulation of 62 case studies of phase-to-ground faults on 13.8, 69, 138 and 230 kV transmission lines were performed and the voltage of a 380 V sensitive industrial busbar client was monitored. These lines are part of the electrical system of the city of Goiania, Brazil. For each case study, different fault positions were simulated by considering different DG levels connected to the consumer busbar. Long-term simulation scenarios were obtained by the Monte Carlo method and analyzed based on their cumulative distribution functions and probability density curves of voltage sags. This is one major contribution of this work. Key Words—Power quality, voltage sags, distributed generation, Monte Carlo method, Network Topology.\",\"PeriodicalId\":21007,\"journal\":{\"name\":\"Renewable energy & power quality journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Renewable energy & power quality journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24084/REPQJ16.230\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Renewable energy & power quality journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24084/REPQJ16.230","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A First Approach on the Impact of Distributed Generation and network topology on Studies of Voltage Sags
An analysis of the distributed generation (DG) and network topology impact on studies of voltage sags caused by system faults is presented. The simulation of 62 case studies of phase-to-ground faults on 13.8, 69, 138 and 230 kV transmission lines were performed and the voltage of a 380 V sensitive industrial busbar client was monitored. These lines are part of the electrical system of the city of Goiania, Brazil. For each case study, different fault positions were simulated by considering different DG levels connected to the consumer busbar. Long-term simulation scenarios were obtained by the Monte Carlo method and analyzed based on their cumulative distribution functions and probability density curves of voltage sags. This is one major contribution of this work. Key Words—Power quality, voltage sags, distributed generation, Monte Carlo method, Network Topology.