Amro Alsabbagh, Dongxiang Yan, Songyang Han, Yandong Wang, Chengbin Ma
{"title":"基于行为的光伏充电站电动汽车充电分布式能量管理","authors":"Amro Alsabbagh, Dongxiang Yan, Songyang Han, Yandong Wang, Chengbin Ma","doi":"10.1109/IESES.2018.8349899","DOIUrl":null,"url":null,"abstract":"Behaviour-based distributed energy management for charging electric vehicles (EVs) in photovoltaic (PV) charging station (CS) has been introduced in this paper. Based on the provider or consumer of the power, CS and EVs are modeled as independent players with different preferences. The energy distribution problem is modeled as a noncooperative stackelberg game and the existence of equilibrium among players is proofed at each control instant. Update of Charging powers of EVs in a distributed fashion is implemented through utilising the learning-based consensus network. Static and dynamic analyses are shown in simulation. Moreover, different behaviours of the EVs' drivers to the discount on the power price offered by the station is also showed. All the previous results proof the effectiveness and workability of the proposed energy management.","PeriodicalId":146951,"journal":{"name":"2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Behaviour-based distributed energy management for charging EVs in photovoltaic charging station\",\"authors\":\"Amro Alsabbagh, Dongxiang Yan, Songyang Han, Yandong Wang, Chengbin Ma\",\"doi\":\"10.1109/IESES.2018.8349899\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Behaviour-based distributed energy management for charging electric vehicles (EVs) in photovoltaic (PV) charging station (CS) has been introduced in this paper. Based on the provider or consumer of the power, CS and EVs are modeled as independent players with different preferences. The energy distribution problem is modeled as a noncooperative stackelberg game and the existence of equilibrium among players is proofed at each control instant. Update of Charging powers of EVs in a distributed fashion is implemented through utilising the learning-based consensus network. Static and dynamic analyses are shown in simulation. Moreover, different behaviours of the EVs' drivers to the discount on the power price offered by the station is also showed. All the previous results proof the effectiveness and workability of the proposed energy management.\",\"PeriodicalId\":146951,\"journal\":{\"name\":\"2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IESES.2018.8349899\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IESES.2018.8349899","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Behaviour-based distributed energy management for charging EVs in photovoltaic charging station
Behaviour-based distributed energy management for charging electric vehicles (EVs) in photovoltaic (PV) charging station (CS) has been introduced in this paper. Based on the provider or consumer of the power, CS and EVs are modeled as independent players with different preferences. The energy distribution problem is modeled as a noncooperative stackelberg game and the existence of equilibrium among players is proofed at each control instant. Update of Charging powers of EVs in a distributed fashion is implemented through utilising the learning-based consensus network. Static and dynamic analyses are shown in simulation. Moreover, different behaviours of the EVs' drivers to the discount on the power price offered by the station is also showed. All the previous results proof the effectiveness and workability of the proposed energy management.