{"title":"电动汽车最优充电策略算法:蒙特卡罗验证","authors":"F. Baccino, S. Grillo, S. Massucco, F. Silvestro","doi":"10.1109/IEVC.2014.7056188","DOIUrl":null,"url":null,"abstract":"This paper proposes the validation of an optimal charging strategy for plug-in electric vehicles (PEVs). The algorithm is composed of two phases and is intended to be used by Distribution System Operator (DSO) to properly manage the network. The effectiveness of the optimization algorithm, described in a previous work, is tested through Monte Carlo simulations. The proposed algorithm has evaluated and compared with a dumb charging strategy. The low voltage CIGRE benchmark grid for 5 years was simulated considering 300 PEVs. In addition, a different set of Monte Carlo simulations was run with random-though reasonable-load profiles in order to test the robustness of the algorithm. The traditional and newly proposed power-systemrelated indices were calculated for all of the simulation sets.","PeriodicalId":223794,"journal":{"name":"2014 IEEE International Electric Vehicle Conference (IEVC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimal charging strategy algorithm for PEVs: A Monte Carlo validation\",\"authors\":\"F. Baccino, S. Grillo, S. Massucco, F. Silvestro\",\"doi\":\"10.1109/IEVC.2014.7056188\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes the validation of an optimal charging strategy for plug-in electric vehicles (PEVs). The algorithm is composed of two phases and is intended to be used by Distribution System Operator (DSO) to properly manage the network. The effectiveness of the optimization algorithm, described in a previous work, is tested through Monte Carlo simulations. The proposed algorithm has evaluated and compared with a dumb charging strategy. The low voltage CIGRE benchmark grid for 5 years was simulated considering 300 PEVs. In addition, a different set of Monte Carlo simulations was run with random-though reasonable-load profiles in order to test the robustness of the algorithm. The traditional and newly proposed power-systemrelated indices were calculated for all of the simulation sets.\",\"PeriodicalId\":223794,\"journal\":{\"name\":\"2014 IEEE International Electric Vehicle Conference (IEVC)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Electric Vehicle Conference (IEVC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEVC.2014.7056188\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Electric Vehicle Conference (IEVC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEVC.2014.7056188","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal charging strategy algorithm for PEVs: A Monte Carlo validation
This paper proposes the validation of an optimal charging strategy for plug-in electric vehicles (PEVs). The algorithm is composed of two phases and is intended to be used by Distribution System Operator (DSO) to properly manage the network. The effectiveness of the optimization algorithm, described in a previous work, is tested through Monte Carlo simulations. The proposed algorithm has evaluated and compared with a dumb charging strategy. The low voltage CIGRE benchmark grid for 5 years was simulated considering 300 PEVs. In addition, a different set of Monte Carlo simulations was run with random-though reasonable-load profiles in order to test the robustness of the algorithm. The traditional and newly proposed power-systemrelated indices were calculated for all of the simulation sets.
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