{"title":"考虑放电经济性和系统可靠性的配电网电动汽车充电站优化配置","authors":"Md Shahin Alam, S. A. Arefifar","doi":"10.1109/EIT51626.2021.9491926","DOIUrl":null,"url":null,"abstract":"Electric vehicles have the potential to improve power distribution system’s operational performance. Integration of EV charging stations could have positive impacts on system losses and environmental emissions. This research presents a methodology to install different capacities of electric vehicle charging stations inside microgrids, integrated in distribution systems. The economic operation of electric vehicles in microgrids has been investigated in terms of system operational costs, system losses, and system environmental emissions. Electric vehicles’ uncertain behaviors creates a level of uncertainty, thus, the system reliability due to electric vehicle operation is also assessed in this research. A well-known PG&E 69-bus distribution system is chosen for simulations and case studies. Since microgrids have different distributed energy resources along with electric vehicles, which may generate uncertainty for distribution system operations, this research considers uncertain calculation modeling to get more accurate results in simulations and case studies. Sensitivity analysis has been performed for demand and price uncertainties and results are presented for corresponding system performances. The results validate the proposed methodology for an efficient operation of electric vehicles in microgrids integrated distribution systems.","PeriodicalId":162816,"journal":{"name":"2021 IEEE International Conference on Electro Information Technology (EIT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Optimal Allocation of EV Charging Stations in Distribution Systems Considering Discharging Economy and System Reliability\",\"authors\":\"Md Shahin Alam, S. A. Arefifar\",\"doi\":\"10.1109/EIT51626.2021.9491926\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Electric vehicles have the potential to improve power distribution system’s operational performance. Integration of EV charging stations could have positive impacts on system losses and environmental emissions. This research presents a methodology to install different capacities of electric vehicle charging stations inside microgrids, integrated in distribution systems. The economic operation of electric vehicles in microgrids has been investigated in terms of system operational costs, system losses, and system environmental emissions. Electric vehicles’ uncertain behaviors creates a level of uncertainty, thus, the system reliability due to electric vehicle operation is also assessed in this research. A well-known PG&E 69-bus distribution system is chosen for simulations and case studies. Since microgrids have different distributed energy resources along with electric vehicles, which may generate uncertainty for distribution system operations, this research considers uncertain calculation modeling to get more accurate results in simulations and case studies. Sensitivity analysis has been performed for demand and price uncertainties and results are presented for corresponding system performances. The results validate the proposed methodology for an efficient operation of electric vehicles in microgrids integrated distribution systems.\",\"PeriodicalId\":162816,\"journal\":{\"name\":\"2021 IEEE International Conference on Electro Information Technology (EIT)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Conference on Electro Information Technology (EIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EIT51626.2021.9491926\",\"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 International Conference on Electro Information Technology (EIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EIT51626.2021.9491926","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Allocation of EV Charging Stations in Distribution Systems Considering Discharging Economy and System Reliability
Electric vehicles have the potential to improve power distribution system’s operational performance. Integration of EV charging stations could have positive impacts on system losses and environmental emissions. This research presents a methodology to install different capacities of electric vehicle charging stations inside microgrids, integrated in distribution systems. The economic operation of electric vehicles in microgrids has been investigated in terms of system operational costs, system losses, and system environmental emissions. Electric vehicles’ uncertain behaviors creates a level of uncertainty, thus, the system reliability due to electric vehicle operation is also assessed in this research. A well-known PG&E 69-bus distribution system is chosen for simulations and case studies. Since microgrids have different distributed energy resources along with electric vehicles, which may generate uncertainty for distribution system operations, this research considers uncertain calculation modeling to get more accurate results in simulations and case studies. Sensitivity analysis has been performed for demand and price uncertainties and results are presented for corresponding system performances. The results validate the proposed methodology for an efficient operation of electric vehicles in microgrids integrated distribution systems.