{"title":"径向配电网中可再生能源DG和电容器组同步优化配置","authors":"Sivasangari Rajeswaran, K. Nagappan","doi":"10.4236/CS.2016.711302","DOIUrl":null,"url":null,"abstract":"Nowadays the optimal allocation \nof distributed generation (DG) in the distribution network becomes the popular research \narea in restructuring of power system. The capacitor banks introduced in the distribution \nnetworks for reactive power compensation also have the capacity to minimize the \nreal and reactive power losses occurred in the system. Hence, this research integrates \nthe allocation of renewable energy DG and capacitor banks in the radial distribution \nnetwork to minimize the real power loss occurred in the system. A two-stage methodology is used for \nsimultaneous allocation of renewable DG and capacitor banks. The optimum location \nof renewable energy DG and capacitor banks is determined using the distributed generation \nsitting index (DGSI) ranking method and the optimum sizing of DG and capacitor banks \nis found out for simultaneous placement using weight improved particle swarm optimization \nalgorithm (WIPSO) and self adaptive differential evolution algorithm (SADE). This two-stage methodology reduces the \nburden of SADE and WIPSO algorithm, by using the DGSI index in determining the optimal \nlocation. Hence the computational time gets reduced which makes them suitable for \nonline applications. By using the above methodology, a comprehensive performance \nanalysis is done on IEEE 33 bus and 69 bus RDNs and the results are discussed in \ndetail.","PeriodicalId":63422,"journal":{"name":"电路与系统(英文)","volume":"07 1","pages":"3556-3564"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Optimum Simultaneous Allocation of Renewable Energy DG and Capacitor Banks in Radial Distribution Network\",\"authors\":\"Sivasangari Rajeswaran, K. Nagappan\",\"doi\":\"10.4236/CS.2016.711302\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays the optimal allocation \\nof distributed generation (DG) in the distribution network becomes the popular research \\narea in restructuring of power system. The capacitor banks introduced in the distribution \\nnetworks for reactive power compensation also have the capacity to minimize the \\nreal and reactive power losses occurred in the system. Hence, this research integrates \\nthe allocation of renewable energy DG and capacitor banks in the radial distribution \\nnetwork to minimize the real power loss occurred in the system. A two-stage methodology is used for \\nsimultaneous allocation of renewable DG and capacitor banks. The optimum location \\nof renewable energy DG and capacitor banks is determined using the distributed generation \\nsitting index (DGSI) ranking method and the optimum sizing of DG and capacitor banks \\nis found out for simultaneous placement using weight improved particle swarm optimization \\nalgorithm (WIPSO) and self adaptive differential evolution algorithm (SADE). This two-stage methodology reduces the \\nburden of SADE and WIPSO algorithm, by using the DGSI index in determining the optimal \\nlocation. Hence the computational time gets reduced which makes them suitable for \\nonline applications. By using the above methodology, a comprehensive performance \\nanalysis is done on IEEE 33 bus and 69 bus RDNs and the results are discussed in \\ndetail.\",\"PeriodicalId\":63422,\"journal\":{\"name\":\"电路与系统(英文)\",\"volume\":\"07 1\",\"pages\":\"3556-3564\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"电路与系统(英文)\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.4236/CS.2016.711302\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"电路与系统(英文)","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.4236/CS.2016.711302","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimum Simultaneous Allocation of Renewable Energy DG and Capacitor Banks in Radial Distribution Network
Nowadays the optimal allocation
of distributed generation (DG) in the distribution network becomes the popular research
area in restructuring of power system. The capacitor banks introduced in the distribution
networks for reactive power compensation also have the capacity to minimize the
real and reactive power losses occurred in the system. Hence, this research integrates
the allocation of renewable energy DG and capacitor banks in the radial distribution
network to minimize the real power loss occurred in the system. A two-stage methodology is used for
simultaneous allocation of renewable DG and capacitor banks. The optimum location
of renewable energy DG and capacitor banks is determined using the distributed generation
sitting index (DGSI) ranking method and the optimum sizing of DG and capacitor banks
is found out for simultaneous placement using weight improved particle swarm optimization
algorithm (WIPSO) and self adaptive differential evolution algorithm (SADE). This two-stage methodology reduces the
burden of SADE and WIPSO algorithm, by using the DGSI index in determining the optimal
location. Hence the computational time gets reduced which makes them suitable for
online applications. By using the above methodology, a comprehensive performance
analysis is done on IEEE 33 bus and 69 bus RDNs and the results are discussed in
detail.