{"title":"基于需求响应支持的电动汽车充电站调度","authors":"Praneeth M V S S R, C. T. S, P. Yemula","doi":"10.1109/ISAP48318.2019.9065970","DOIUrl":null,"url":null,"abstract":"World's transportation system is transforming from conventional gasoline vehicles to electric vehicles. According to Bloomberg electric vehicle outlook 2019 report. During the year 2018, around 2 million electric vehicles are sold. Also, it is expected that approximately 30% of total passenger vehicles will be electric by 2040. This growth in electric vehicles will increase the demand on the grid. For this demand, the utility grid has to go for an increase in the generation or use demand response strategy. With the evolution of demand response and prosumer in the smart grid era, the electric vehicle charging station owner has to schedule his cars for charging. The objective of this paper is to schedule the electric vehicles for charging based on price and solar availability, discharging based on the grid requirement. For this objective, we propose an algorithm called charging station demand response management system (CS-DRMS). Since the charging station owner is participating in demand response and utilizing full solar capability, it is evident that we achieve the profit maximization of the charging station owner. For validation, we discuss the results by simulating the algorithm using MATLAB programming.","PeriodicalId":316020,"journal":{"name":"2019 20th International Conference on Intelligent System Application to Power Systems (ISAP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Scheduling of EV Charging Station for Demand Response Support to Utility\",\"authors\":\"Praneeth M V S S R, C. T. S, P. Yemula\",\"doi\":\"10.1109/ISAP48318.2019.9065970\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"World's transportation system is transforming from conventional gasoline vehicles to electric vehicles. According to Bloomberg electric vehicle outlook 2019 report. During the year 2018, around 2 million electric vehicles are sold. Also, it is expected that approximately 30% of total passenger vehicles will be electric by 2040. This growth in electric vehicles will increase the demand on the grid. For this demand, the utility grid has to go for an increase in the generation or use demand response strategy. With the evolution of demand response and prosumer in the smart grid era, the electric vehicle charging station owner has to schedule his cars for charging. The objective of this paper is to schedule the electric vehicles for charging based on price and solar availability, discharging based on the grid requirement. For this objective, we propose an algorithm called charging station demand response management system (CS-DRMS). Since the charging station owner is participating in demand response and utilizing full solar capability, it is evident that we achieve the profit maximization of the charging station owner. For validation, we discuss the results by simulating the algorithm using MATLAB programming.\",\"PeriodicalId\":316020,\"journal\":{\"name\":\"2019 20th International Conference on Intelligent System Application to Power Systems (ISAP)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 20th International Conference on Intelligent System Application to Power Systems (ISAP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISAP48318.2019.9065970\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 20th International Conference on Intelligent System Application to Power Systems (ISAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISAP48318.2019.9065970","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Scheduling of EV Charging Station for Demand Response Support to Utility
World's transportation system is transforming from conventional gasoline vehicles to electric vehicles. According to Bloomberg electric vehicle outlook 2019 report. During the year 2018, around 2 million electric vehicles are sold. Also, it is expected that approximately 30% of total passenger vehicles will be electric by 2040. This growth in electric vehicles will increase the demand on the grid. For this demand, the utility grid has to go for an increase in the generation or use demand response strategy. With the evolution of demand response and prosumer in the smart grid era, the electric vehicle charging station owner has to schedule his cars for charging. The objective of this paper is to schedule the electric vehicles for charging based on price and solar availability, discharging based on the grid requirement. For this objective, we propose an algorithm called charging station demand response management system (CS-DRMS). Since the charging station owner is participating in demand response and utilizing full solar capability, it is evident that we achieve the profit maximization of the charging station owner. For validation, we discuss the results by simulating the algorithm using MATLAB programming.