{"title":"配电网负载均衡优化网络重构的遗传算法实现","authors":"P. Ravibabu, K. Venkatesh, C. Sudheer Kumar","doi":"10.1109/SIBIRCON.2008.4602603","DOIUrl":null,"url":null,"abstract":"Network reconfiguration of an electrical distribution system is an operation to alter the topological structure of distribution system by changing status (open/closed) of sectionalizing and tie switches. By transferring loads from the heavily loaded feeders to the relatively lightly loaded feeders, the network reconfiguration can balance feeder loads and eliminate overload conditions. The system load-balancing index (LBI) is used to determine the loading conditions of the system and maximum system loading capacity. The index value has to be minimum in the optimal network reconfiguration of load balancing. This paper presents a new approach for optimal network reconfiguration of a distribution system using genetic algorithm to determine the optimal network reconfiguration. The switches are taken into consideration for crossover process. After obtaining number of solutions from the combinational analysis, the optimal solution is selected based on the fitness function, i.e., the solution having the minimum index value. The proposed approach is tested on IEEE 16 bus system.","PeriodicalId":295946,"journal":{"name":"2008 IEEE Region 8 International Conference on Computational Technologies in Electrical and Electronics Engineering","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"35","resultStr":"{\"title\":\"Implementation of genetic algorithm for optimal network reconfiguration in distribution systems for load balancing\",\"authors\":\"P. Ravibabu, K. Venkatesh, C. Sudheer Kumar\",\"doi\":\"10.1109/SIBIRCON.2008.4602603\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Network reconfiguration of an electrical distribution system is an operation to alter the topological structure of distribution system by changing status (open/closed) of sectionalizing and tie switches. By transferring loads from the heavily loaded feeders to the relatively lightly loaded feeders, the network reconfiguration can balance feeder loads and eliminate overload conditions. The system load-balancing index (LBI) is used to determine the loading conditions of the system and maximum system loading capacity. The index value has to be minimum in the optimal network reconfiguration of load balancing. This paper presents a new approach for optimal network reconfiguration of a distribution system using genetic algorithm to determine the optimal network reconfiguration. The switches are taken into consideration for crossover process. After obtaining number of solutions from the combinational analysis, the optimal solution is selected based on the fitness function, i.e., the solution having the minimum index value. The proposed approach is tested on IEEE 16 bus system.\",\"PeriodicalId\":295946,\"journal\":{\"name\":\"2008 IEEE Region 8 International Conference on Computational Technologies in Electrical and Electronics Engineering\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-07-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"35\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE Region 8 International Conference on Computational Technologies in Electrical and Electronics Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIBIRCON.2008.4602603\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE Region 8 International Conference on Computational Technologies in Electrical and Electronics Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIBIRCON.2008.4602603","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation of genetic algorithm for optimal network reconfiguration in distribution systems for load balancing
Network reconfiguration of an electrical distribution system is an operation to alter the topological structure of distribution system by changing status (open/closed) of sectionalizing and tie switches. By transferring loads from the heavily loaded feeders to the relatively lightly loaded feeders, the network reconfiguration can balance feeder loads and eliminate overload conditions. The system load-balancing index (LBI) is used to determine the loading conditions of the system and maximum system loading capacity. The index value has to be minimum in the optimal network reconfiguration of load balancing. This paper presents a new approach for optimal network reconfiguration of a distribution system using genetic algorithm to determine the optimal network reconfiguration. The switches are taken into consideration for crossover process. After obtaining number of solutions from the combinational analysis, the optimal solution is selected based on the fitness function, i.e., the solution having the minimum index value. The proposed approach is tested on IEEE 16 bus system.