中文摘要：

构建含有插电式混合电动汽车（PHEVs）充放电的动态经济调度数学模型，以社会总成本（机组燃煤费用、启停费用、废气的排放成本、PHEVs用户的经济效益）最小为目标函数，并引入相应的约束条件。提出一种双种群带精英学习策略的微分进化算法，以求出该模型的最优调度方案。10机系统仿真结果表明，借助合理的发电计划，PHEVs的规模化入网能够实现对日负荷“削峰填谷”的作用。

英文摘要：

A mathematic model of economic dispatch considering PHEVs（Plug-in Hybrid Electric Vehicles） is built,which takes the minimum total social cost（unit coal cost,switching cost,exhaust emission cost,PHEV users＇ economic effect） as its objective function and establishes corresponding constraints. A hi-population differential evolution algorithm with elitist strategy is proposed to solve the model and obtain the optimal dispatch scheme. Simulative results for a 10-generator system show that,the large-scale integration of PHEVs may mitigate the daily peak-load by the reasonable power generation schedule.