{"title":"基于改进粒子群优化算法的配电网络故障段定位","authors":"Liansuo Zheng, Zhanshan Wang, C. Wang","doi":"10.1109/ICCSIE55183.2023.10175228","DOIUrl":null,"url":null,"abstract":"For some specialists and academics, the study of distribution network fault location has always been a crucial research area. The access of distributed generation (DG) to distribution network has made it more challenging to locate faults in those distribution networks, particularly in recent years. According to the similarities and differences between distribution network with DG and traditional distribution network, this paper establishes the switch function and fitness function of distribution network with DG. An improved PSO is proposed and the rate of convergence of PSO is accelerated. Finally, the original PSO and improved PSO are used to simulate and verify the fault location of the distribution network with DG. The improved PSO proposed in this paper has advantages in fault location in distribution network with DG.","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"802 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fault Segment Location in Distributed Distribution Network Based on Improved Particle Swarm Optimization Algorithm\",\"authors\":\"Liansuo Zheng, Zhanshan Wang, C. Wang\",\"doi\":\"10.1109/ICCSIE55183.2023.10175228\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For some specialists and academics, the study of distribution network fault location has always been a crucial research area. The access of distributed generation (DG) to distribution network has made it more challenging to locate faults in those distribution networks, particularly in recent years. According to the similarities and differences between distribution network with DG and traditional distribution network, this paper establishes the switch function and fitness function of distribution network with DG. An improved PSO is proposed and the rate of convergence of PSO is accelerated. Finally, the original PSO and improved PSO are used to simulate and verify the fault location of the distribution network with DG. The improved PSO proposed in this paper has advantages in fault location in distribution network with DG.\",\"PeriodicalId\":391372,\"journal\":{\"name\":\"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)\",\"volume\":\"802 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSIE55183.2023.10175228\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSIE55183.2023.10175228","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fault Segment Location in Distributed Distribution Network Based on Improved Particle Swarm Optimization Algorithm
For some specialists and academics, the study of distribution network fault location has always been a crucial research area. The access of distributed generation (DG) to distribution network has made it more challenging to locate faults in those distribution networks, particularly in recent years. According to the similarities and differences between distribution network with DG and traditional distribution network, this paper establishes the switch function and fitness function of distribution network with DG. An improved PSO is proposed and the rate of convergence of PSO is accelerated. Finally, the original PSO and improved PSO are used to simulate and verify the fault location of the distribution network with DG. The improved PSO proposed in this paper has advantages in fault location in distribution network with DG.