{"title":"电动汽车参与辅助服务市场竞价策略研究","authors":"Jianlin Yang, Fei Fei, Mingwei Xiao, Aili Pang, Zheng Zeng, Li Lv, Ciwei Gao","doi":"10.1109/ICSAI.2017.8248309","DOIUrl":null,"url":null,"abstract":"Electric vehicles can be used to provide ancillary services to the grid as a flexible adjustable energy storage load. Cluster electric vehicles can be used as a virtual power plant in the aggregation mode to participate in the ancillary service market. In this paper, the bidding strategy of electric vehicle aggregators and their internal resource optimization are modeled. The aggregator considers the possible bidding of other aggregators and the constraints of internal resources, and determine their bidding coefficients with the aim of maximizing their own benefits. The aggregator makes the corresponding adjustment of control strategies according to the actual clearing price and quantities. The aggregate bidding strategy proposed by this paper reduces the burden on the dispatch center and provides the opportunity for electric vehicle owners to participate in ancillary service market bidding directly.","PeriodicalId":285726,"journal":{"name":"2017 4th International Conference on Systems and Informatics (ICSAI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A noval bidding strategy of electric vehicles participation in ancillary service market\",\"authors\":\"Jianlin Yang, Fei Fei, Mingwei Xiao, Aili Pang, Zheng Zeng, Li Lv, Ciwei Gao\",\"doi\":\"10.1109/ICSAI.2017.8248309\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Electric vehicles can be used to provide ancillary services to the grid as a flexible adjustable energy storage load. Cluster electric vehicles can be used as a virtual power plant in the aggregation mode to participate in the ancillary service market. In this paper, the bidding strategy of electric vehicle aggregators and their internal resource optimization are modeled. The aggregator considers the possible bidding of other aggregators and the constraints of internal resources, and determine their bidding coefficients with the aim of maximizing their own benefits. The aggregator makes the corresponding adjustment of control strategies according to the actual clearing price and quantities. The aggregate bidding strategy proposed by this paper reduces the burden on the dispatch center and provides the opportunity for electric vehicle owners to participate in ancillary service market bidding directly.\",\"PeriodicalId\":285726,\"journal\":{\"name\":\"2017 4th International Conference on Systems and Informatics (ICSAI)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 4th International Conference on Systems and Informatics (ICSAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSAI.2017.8248309\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 4th International Conference on Systems and Informatics (ICSAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSAI.2017.8248309","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A noval bidding strategy of electric vehicles participation in ancillary service market
Electric vehicles can be used to provide ancillary services to the grid as a flexible adjustable energy storage load. Cluster electric vehicles can be used as a virtual power plant in the aggregation mode to participate in the ancillary service market. In this paper, the bidding strategy of electric vehicle aggregators and their internal resource optimization are modeled. The aggregator considers the possible bidding of other aggregators and the constraints of internal resources, and determine their bidding coefficients with the aim of maximizing their own benefits. The aggregator makes the corresponding adjustment of control strategies according to the actual clearing price and quantities. The aggregate bidding strategy proposed by this paper reduces the burden on the dispatch center and provides the opportunity for electric vehicle owners to participate in ancillary service market bidding directly.