摘要
针对如何利用电动汽车有序充电对电网实现削峰填谷效果的问题,提出了峰谷电价时段的优化模型与方法。构建用户选择充电时间对峰谷电价时段的响应模型;通过蒙特卡洛法模拟得到电动汽车充电负荷的日负荷曲线,并与原始电网负荷曲线叠加,从而形成实施效果下的电网实际负荷情况。在此基础上,建立了以峰谷差率最小为目标的最优化模型,并通过遗传算法对峰谷电价时段优化问题进行了求解。最后通过算例的计算结果证明了模型和方法的合理性。
This paper presents an optimized model for TOU power price time-period considering how to use ordered charging of electric vehicles (EV) to cut the peak and fill the valley of electricity power grid. First, a response model of charging time is presented, then the typical day load curve of EV ordered charging is obtained by Monte Carlo simulation, which is attached to the original load curve to form the real load of power grid. Based on this, an optimization model is built with the purpose of minimizing the peak-valley ratio. A genetic algorithm is used to solve this problem to get the best time-period for load shifting. The results of example show the rationality of this model and method.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2012年第10期1-5,共5页
Power System Protection and Control
基金
国家自然科学基金资助项目(51107085)
家重点基础研究发展计划(973计划)(2009CB219703)~~
关键词
电动汽车
有序充电
峰谷电价
电价时段优化
遗传算法
electric vehicle
ordered charging
peak-valley TOU power price
time-period optimization
genetic algorithm