基于NSGA-Ⅱ的电动汽车协调充电策略研究

摘要

为了减小电动汽车充电对电网的冲击、降低电网损耗和提高节点电压水平,构建了电动汽车多目标优化模型;分析了基于非劣排序遗传算法（elitist Non-dominated Sorting Genetic Algorithm,NSGA）NSGA-Ⅱ和熵权法求解电动汽车协调充电策略的原理;算例分析采用30节点配电系统验证了该协调充电策略的可行性。%In order to reduce the impact of electric vehicle charging on power grid,decrease power loss,and improve the node voltage level,the multi-objective optimization model is constructed.Based on NSGA-II and entropy weight method,this paper analyzes the mechanism to establish the electric vehicle coordination charging strategy.Example analysis,using 30 node distribution system,validates the feasibility of the proposed coordination charging strategy.