考虑风电消纳的电动汽车充电站有序充电控制

Coordinated charging control for EV charging stations considering wind power accommodation

为实现电动汽车充电站对风电的充分利用,降低充电负荷对配网系统运行带来的负面影响,本工作提出一种考虑风电消纳的电动汽车充电优化策略。首先采用蒙特卡罗仿真法对不同数量电动汽车的充电负荷进行预测;然后,在综合考虑风电出力和电动汽车充电需求的基础上,根据风电功率的波动,动态调整分时电价,以包含充电负荷在内的配电网负荷峰谷差最小和用户充电花费最低为控制目标,建立电动汽车有序充电模型,采用改进的粒子群优化算法对模型求解,此外,通过与电动汽车直接接入配网充电的无序情形对比,结果表明,所提策略有效降低充电行为对配电网冲击的同时,能够直接促进风电消纳,提高用户充电的经济性。

The grafting yield must be kept in a proper range to obtain a satisfactory gating property of membranes.An optimization strategy for EV charging with wind power consumption in mind was proposed to make full use of wind power in EV charging stations and reduce the negative impact of charging load on the distribution system operation.First,a Monte Carlo simulation method is used to predict the charging load of different numbers of EV.Then,considering wind power output and on the basis of the electric car charge demand,according to the fluctuation of wind power,we dynamically adjusted the time-of-use(TOU)pricing to include the charging load of the distribution network and user charge.With the lowest minimum peak valley load difference as the control target,a coordinated charging model is set up,using an improved particle swarm optimization algorithm to solve the model.In addition,through the electric vehicle charging directly connected to the distribution network of uncoordinated situation comparison,the results show that the proposed strategy on the impact of power distribution network at the same time effectively reduce the charging behavior can directly promote the wind power given,improve the economic benefit of charging users.