摘要
将电动汽车作为可移动储能元件并入电网,进行统一的管理和调度,在电网负荷低谷期充电,在负荷高峰期进行放电,可对电网进行调峰,拉平负荷曲线。提出一种电动汽车与电网互联V2G模型,及其参与电网调峰的分析模型,以分析电动汽车参与电网调峰的效果。该模型通过将每天的负荷曲线分段,按照电动汽车的所存储的能量和负荷曲线,采用粒子群寻优算法对其充放电时间进行优化计算。通过仿真实验分析,本文所提出的控制模型对电网调峰分析有良好的效果,可用于将来电动汽车并网控制的分析。
The electric vehicles(EVs) can be used as a set of move-able energy stored cells,which can charge energy in load off-peak time,and discharge the stored energy in load peak time.If the stored energy is enough,EVs can help the power grid to adjust the peak and off-peak of the load curve,to flat the load curve.In this paper,an analysis model of vehicle to Grid(V2G) is introduced to analyze the peak adjusted effect of the V2G.In the model,the daily curve is divided by hours,and Particle Swarm Optimization(PSO) arithmetic is used to control the charge and discharge time of the EVs according to the load curve and the energy capability in the batteries.By simulation experimenta tion,a nice effect is achieved.So the analysis model in this work can be used in V2G system.
出处
《电力学报》
2012年第4期306-309,312,共5页
Journal of Electric Power
关键词
电网调峰
电动汽车
V2G
粒子群算法
electric vehicles
power grid peak shaving
vehicle to grid
particle swarm optimiza tion