An Optimal Power Control Strategy For A Plug In Electric Vehicle Based On Online Multi-Objective Particle Swarm Optimization

M. Rekik, Marwa Grami, L. Krichen
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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.
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
本文主要研究可充电电动汽车与智能电网的优化集成问题。实际上,在车辆到电网和电网到车辆这两个概念中,提出了一种优化控制方法,通过调整其调节器的所有参数来改善这些车辆的动力学和响应。该方法采用在线多目标粒子群优化(PSO)算法。通过Matlab Simulink仿真得到的结果表明了所研究方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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