{"title":"基于在线多目标粒子群优化的插电式电动汽车最优功率控制策略","authors":"M. Rekik, Marwa Grami, L. Krichen","doi":"10.1109/IC_ASET53395.2022.9765949","DOIUrl":null,"url":null,"abstract":"The developed work in this paper focuses on the optimal integration of rechargeable electric vehicles into the smart grid. Indeed, an optimization control is proposed to improve the dynamics and the response of these vehicles by adjusting all the parameters of their regulators during participation in the both concepts: vehicles to grid and grid to vehicles. The suggested approach is performed using the Online multi-objective Particle-Swarm-Optimization (PSO) algorithm. Simulation results obtained by \"Matlab Simulink\" will be presented to show the feasibility of this studied approach.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"40 1","pages":"538-543"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Optimal Power Control Strategy For A Plug In Electric Vehicle Based On Online Multi-Objective Particle Swarm Optimization\",\"authors\":\"M. Rekik, Marwa Grami, L. Krichen\",\"doi\":\"10.1109/IC_ASET53395.2022.9765949\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The developed work in this paper focuses on the optimal integration of rechargeable electric vehicles into the smart grid. Indeed, an optimization control is proposed to improve the dynamics and the response of these vehicles by adjusting all the parameters of their regulators during participation in the both concepts: vehicles to grid and grid to vehicles. The suggested approach is performed using the Online multi-objective Particle-Swarm-Optimization (PSO) algorithm. Simulation results obtained by \\\"Matlab Simulink\\\" will be presented to show the feasibility of this studied approach.\",\"PeriodicalId\":6874,\"journal\":{\"name\":\"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)\",\"volume\":\"40 1\",\"pages\":\"538-543\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IC_ASET53395.2022.9765949\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC_ASET53395.2022.9765949","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Optimal Power Control Strategy For A Plug In Electric Vehicle Based On Online Multi-Objective Particle Swarm Optimization
The developed work in this paper focuses on the optimal integration of rechargeable electric vehicles into the smart grid. Indeed, an optimization control is proposed to improve the dynamics and the response of these vehicles by adjusting all the parameters of their regulators during participation in the both concepts: vehicles to grid and grid to vehicles. The suggested approach is performed using the Online multi-objective Particle-Swarm-Optimization (PSO) algorithm. Simulation results obtained by "Matlab Simulink" will be presented to show the feasibility of this studied approach.
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