{"title":"基于光伏发电的电动汽车车主偏好智能充电调度","authors":"S. Suman, P. Jain, R. Bhakar, P. P. Gupta","doi":"10.1109/NPSC.2018.8771715","DOIUrl":null,"url":null,"abstract":"The photovoltaic (PV) generation and Electric vehicles (EV) are extensively accepted around the world. Due to the restrictions of space near households, EV owners are required to charge their EVs at the workplace during the daytime in smart cities, which will cause proliferation of the peak load. In addition to this, the possibility of maximum output from PV generation is afternoon, which could intimate to have a significant plausible of PVs to reward the EVs charging. Proposed smart charge scheduling of EVs depends on usage of PV can mitigate both the detrimental impact of the charging EVs on the distribution network and charging constraints. For rewarding the unrestrained EVs charging, quantity bound in terms of maximum number of EVs with unrestrained charging are deliberated through maximum consumption of the PV generation. Remaining percentage of EVs are charged from the grid subjected to grid constraints. Then, for these EVs, the regulated charging is scheduled with line loss minimization as the optimization objective. To validate the reduction of the peak load of the demand profile and growth of number of EVs through unrestrained charging, a realistic case study is incorporated in the proposed scheme.","PeriodicalId":185930,"journal":{"name":"2018 20th National Power Systems Conference (NPSC)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Electric Vehicle Owner Preferred Smart Charge Scheduling of EV Aggregator Using PV Generation\",\"authors\":\"S. Suman, P. Jain, R. Bhakar, P. P. Gupta\",\"doi\":\"10.1109/NPSC.2018.8771715\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The photovoltaic (PV) generation and Electric vehicles (EV) are extensively accepted around the world. Due to the restrictions of space near households, EV owners are required to charge their EVs at the workplace during the daytime in smart cities, which will cause proliferation of the peak load. In addition to this, the possibility of maximum output from PV generation is afternoon, which could intimate to have a significant plausible of PVs to reward the EVs charging. Proposed smart charge scheduling of EVs depends on usage of PV can mitigate both the detrimental impact of the charging EVs on the distribution network and charging constraints. For rewarding the unrestrained EVs charging, quantity bound in terms of maximum number of EVs with unrestrained charging are deliberated through maximum consumption of the PV generation. Remaining percentage of EVs are charged from the grid subjected to grid constraints. Then, for these EVs, the regulated charging is scheduled with line loss minimization as the optimization objective. To validate the reduction of the peak load of the demand profile and growth of number of EVs through unrestrained charging, a realistic case study is incorporated in the proposed scheme.\",\"PeriodicalId\":185930,\"journal\":{\"name\":\"2018 20th National Power Systems Conference (NPSC)\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 20th National Power Systems Conference (NPSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NPSC.2018.8771715\",\"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 20th National Power Systems Conference (NPSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NPSC.2018.8771715","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Electric Vehicle Owner Preferred Smart Charge Scheduling of EV Aggregator Using PV Generation
The photovoltaic (PV) generation and Electric vehicles (EV) are extensively accepted around the world. Due to the restrictions of space near households, EV owners are required to charge their EVs at the workplace during the daytime in smart cities, which will cause proliferation of the peak load. In addition to this, the possibility of maximum output from PV generation is afternoon, which could intimate to have a significant plausible of PVs to reward the EVs charging. Proposed smart charge scheduling of EVs depends on usage of PV can mitigate both the detrimental impact of the charging EVs on the distribution network and charging constraints. For rewarding the unrestrained EVs charging, quantity bound in terms of maximum number of EVs with unrestrained charging are deliberated through maximum consumption of the PV generation. Remaining percentage of EVs are charged from the grid subjected to grid constraints. Then, for these EVs, the regulated charging is scheduled with line loss minimization as the optimization objective. To validate the reduction of the peak load of the demand profile and growth of number of EVs through unrestrained charging, a realistic case study is incorporated in the proposed scheme.