{"title":"包含电动汽车和分布式电源的“源-网-蓄负荷”最优协调控制策略研究","authors":"Guang-bin Huang, Hao Ma, Xi Chen, Binrong Zhang, Chang Liu, Jing Zhang","doi":"10.1109/ICAIIS49377.2020.9194707","DOIUrl":null,"url":null,"abstract":"Because the electric vehicle load is a complex space-time load with comprehensive influence factors. Therefore, this paper considers the temporal and spatial characteristics of the electric vehicle load and the time sequence characteristics of the distributed generation. It establishes optimization model of distribution network containing the plug-in electric vehicle and distributed generation. To optimize the annual total cost of distribution network, it uses Monte Carlo simulation to get the temporal and spatial characteristics of electric vehicle load. Based on the coordinated control strategy, the model is solved by a hybrid particle swarm optimization algorithm with mutation and crossover operation.","PeriodicalId":416002,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on the optimal coordinated control strategy of ‘source-grid-load-storage’ including electric vehicle and distributed power supply\",\"authors\":\"Guang-bin Huang, Hao Ma, Xi Chen, Binrong Zhang, Chang Liu, Jing Zhang\",\"doi\":\"10.1109/ICAIIS49377.2020.9194707\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Because the electric vehicle load is a complex space-time load with comprehensive influence factors. Therefore, this paper considers the temporal and spatial characteristics of the electric vehicle load and the time sequence characteristics of the distributed generation. It establishes optimization model of distribution network containing the plug-in electric vehicle and distributed generation. To optimize the annual total cost of distribution network, it uses Monte Carlo simulation to get the temporal and spatial characteristics of electric vehicle load. Based on the coordinated control strategy, the model is solved by a hybrid particle swarm optimization algorithm with mutation and crossover operation.\",\"PeriodicalId\":416002,\"journal\":{\"name\":\"2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAIIS49377.2020.9194707\",\"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 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIIS49377.2020.9194707","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on the optimal coordinated control strategy of ‘source-grid-load-storage’ including electric vehicle and distributed power supply
Because the electric vehicle load is a complex space-time load with comprehensive influence factors. Therefore, this paper considers the temporal and spatial characteristics of the electric vehicle load and the time sequence characteristics of the distributed generation. It establishes optimization model of distribution network containing the plug-in electric vehicle and distributed generation. To optimize the annual total cost of distribution network, it uses Monte Carlo simulation to get the temporal and spatial characteristics of electric vehicle load. Based on the coordinated control strategy, the model is solved by a hybrid particle swarm optimization algorithm with mutation and crossover operation.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
