{"title":"基于主从博弈的电动汽车有序充电策略","authors":"Shutong Duan, H. Sui, Shoukun Zhang","doi":"10.1109/ICPSAsia52756.2021.9621585","DOIUrl":null,"url":null,"abstract":"With the randomness of charging electric vehicles (EV), it’s more challenging to formulate effective and reasonable electric vehicle scheduling strategies. Due to the price advantage of the power grid, a master-slave game model is developed, in which the grid is the game subject and the electric vehicle is the game subordinate. The particle swarm algorithm is used to obtain the optimal time-of-use electricity price strategy and grid dispatching strategy. Furthermore, the simulation experiment is designed with MATLAB. It is proved that the proposed model has an optimizing effect on the load curve and can reduce the peak-valley difference.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Orderly Charging Strategy for Electric Vehicles Based on Master-Slave Game\",\"authors\":\"Shutong Duan, H. Sui, Shoukun Zhang\",\"doi\":\"10.1109/ICPSAsia52756.2021.9621585\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the randomness of charging electric vehicles (EV), it’s more challenging to formulate effective and reasonable electric vehicle scheduling strategies. Due to the price advantage of the power grid, a master-slave game model is developed, in which the grid is the game subject and the electric vehicle is the game subordinate. The particle swarm algorithm is used to obtain the optimal time-of-use electricity price strategy and grid dispatching strategy. Furthermore, the simulation experiment is designed with MATLAB. It is proved that the proposed model has an optimizing effect on the load curve and can reduce the peak-valley difference.\",\"PeriodicalId\":296085,\"journal\":{\"name\":\"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPSAsia52756.2021.9621585\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPSAsia52756.2021.9621585","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Orderly Charging Strategy for Electric Vehicles Based on Master-Slave Game
With the randomness of charging electric vehicles (EV), it’s more challenging to formulate effective and reasonable electric vehicle scheduling strategies. Due to the price advantage of the power grid, a master-slave game model is developed, in which the grid is the game subject and the electric vehicle is the game subordinate. The particle swarm algorithm is used to obtain the optimal time-of-use electricity price strategy and grid dispatching strategy. Furthermore, the simulation experiment is designed with MATLAB. It is proved that the proposed model has an optimizing effect on the load curve and can reduce the peak-valley difference.