电网技术Issue(3)：633-637,5.DOI:10.13335/j.1000-3673.pst.2014.03.014
基于改进化学反应优化算法的电动汽车与可再生能源多目标协同调度
Multi-Objective Coordinated Scheduling of Electric Vehicles and Renewable Generation Based on Improved Chemical Reaction Optimization Algorithm
摘要
Abstract
To mitigate the impact of fluctuation of renewable generation output on power grid and accelerate the population of electric vehicles (EV), taking the minimized output fluctuation of renewable generation and the maximized income of EV users as objective function and considering the constraints of the electricity quantity stored in the battery, the charging/discharging power and the charging/discharging times, a multi-objective coordinated scheduling model, in which the grid-connectible EV, wind power generation system and photovoltaic (PV) generation system are taken into account simultaneously, is established. A virtual ideal molecular based multi-objective improved chemical reaction optimization algorithm(CROA) is proposed, and the established model is solved by the proposed algorithm. In allusion to such defects of CROA as slow convergence and low accuracy, the update mode of particle swarm optimization algorithm is integrated with the improved CROA. Results of calculation example show that through reasonably arranging the charging/discharging of EV, the output fluctuation of renewable generation can be effectively suppressed and the income of EV users can be increased. Comparison results show that the virtual ideal molecular based improved multi-objective CROA possesses strong searching ability.关键词
化学反应优化算法/电动汽车/风力发电/光伏发电/多目标协同调度Key words
chemical reaction optimization algorithm/electric vehicles/wind power generation/photovoltaic generation/multi-objective coordinated dispatching分类
信息技术与安全科学引用本文复制引用
张智晟,温令云,李国,张伟..基于改进化学反应优化算法的电动汽车与可再生能源多目标协同调度[J].电网技术,2014,(3):633-637,5.基金项目
山东省优秀中青年科学家奖励计划项目(BS2011NJ005)。 （BS2011NJ005）
