{"title":"利用改进粒子群算法实现带连接线和电容的配电网优化重构","authors":"Chatuphat Karaaom, P. Jirapong, P. Thararak","doi":"10.1109/ICPEI49860.2020.9431479","DOIUrl":null,"url":null,"abstract":"Regarding the increase in electrical power demands, distributed generations (DGs) from renewable energy resources are becoming essential for electrical generation systems. However, there are no specific requirements for DGs allocation in a distribution network. The improper installation of the DGs can cause crucial issues to electric utilities and customers, such as the increase in energy losses and the improper voltage drop in the networks. In this paper, the optimal distribution network reconfiguration implemented with a tie line and a capacitor is proposed to enhance system efficiency and mitigate the impacts of the improper DGs installation. The optimal allocation of the tie line and the capacitor is determined using an improved particle swarm optimization (I-PSO) technique to minimize the energy losses and improve the voltage profile. The proposed network reconfiguration approach is implemented into a practical distribution network with a high installed capacity of the biomass DG unit from Kamphaeng Phet province, Thailand. The simulation test results show that the proposed approach can significantly reduce not only the energy losses but also the voltage drop in the network.","PeriodicalId":342582,"journal":{"name":"2020 International Conference on Power, Energy and Innovations (ICPEI)","volume":"125 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal Distribution Network Reconfiguration Implemented with Tie Line and Capacitor Using Improved Particle Swarm Optimization\",\"authors\":\"Chatuphat Karaaom, P. Jirapong, P. Thararak\",\"doi\":\"10.1109/ICPEI49860.2020.9431479\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Regarding the increase in electrical power demands, distributed generations (DGs) from renewable energy resources are becoming essential for electrical generation systems. However, there are no specific requirements for DGs allocation in a distribution network. The improper installation of the DGs can cause crucial issues to electric utilities and customers, such as the increase in energy losses and the improper voltage drop in the networks. In this paper, the optimal distribution network reconfiguration implemented with a tie line and a capacitor is proposed to enhance system efficiency and mitigate the impacts of the improper DGs installation. The optimal allocation of the tie line and the capacitor is determined using an improved particle swarm optimization (I-PSO) technique to minimize the energy losses and improve the voltage profile. The proposed network reconfiguration approach is implemented into a practical distribution network with a high installed capacity of the biomass DG unit from Kamphaeng Phet province, Thailand. The simulation test results show that the proposed approach can significantly reduce not only the energy losses but also the voltage drop in the network.\",\"PeriodicalId\":342582,\"journal\":{\"name\":\"2020 International Conference on Power, Energy and Innovations (ICPEI)\",\"volume\":\"125 \",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Power, Energy and Innovations (ICPEI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPEI49860.2020.9431479\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Power, Energy and Innovations (ICPEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPEI49860.2020.9431479","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Distribution Network Reconfiguration Implemented with Tie Line and Capacitor Using Improved Particle Swarm Optimization
Regarding the increase in electrical power demands, distributed generations (DGs) from renewable energy resources are becoming essential for electrical generation systems. However, there are no specific requirements for DGs allocation in a distribution network. The improper installation of the DGs can cause crucial issues to electric utilities and customers, such as the increase in energy losses and the improper voltage drop in the networks. In this paper, the optimal distribution network reconfiguration implemented with a tie line and a capacitor is proposed to enhance system efficiency and mitigate the impacts of the improper DGs installation. The optimal allocation of the tie line and the capacitor is determined using an improved particle swarm optimization (I-PSO) technique to minimize the energy losses and improve the voltage profile. The proposed network reconfiguration approach is implemented into a practical distribution network with a high installed capacity of the biomass DG unit from Kamphaeng Phet province, Thailand. The simulation test results show that the proposed approach can significantly reduce not only the energy losses but also the voltage drop in the network.