电力系统保护与控制Issue(14)：19-24,6.
基于自适应遗传算法的规模化电动汽车智能充电策略研究
Smart charging strategy of large-scale electric vehicles based on adaptive genetic algorithm
摘要
Abstract
Electric vehicles connected to the grid exhibits strong uncertainty in time and space. Dumb charging of large-scale electric vehicles might have adverse impacts on distribution system by causing much high peak load exceeding the supply limits of devices. This paper proposes a model for smart charging control of electric vehicles, which takes smoothing the daily load profile as the objective function and fully accounts the EV owner’s requirement. An adaptive genetic algorithm is applied for solving the model. Using the IEEE 33-bus case as the test systems, scenarios of EVs integration are simulated by Monte Carlo stochastic methods. Smart charging strategy is obtained using the proposed model and method. By comparing with the load profile under dumb charging, the validity of the proposed model is proved.关键词
蒙特卡洛模拟/自适应遗传算法/智能充电/电动汽车/配电系统Key words
Monte Carlo simulation/adaptive genetic algorithm/smart charging/electric vehicles/distribution networks分类
信息技术与安全科学引用本文复制引用
张聪,许晓慧,孙海顺,周鑫..基于自适应遗传算法的规模化电动汽车智能充电策略研究[J].电力系统保护与控制,2014,(14):19-24,6.基金项目
国家电网公司基础性前瞻性科技项目资助 （）
