针对电动汽车实时充电具有随机性强、受配电网多种安全约束限制的特点,该文计及配电网的三相网络结构,建立了电动汽车充电控制的最优化模型;同时,基于滚动时域控制理论,提出了一种高效的电动汽车实时调度方法。该方法结合电动汽车的充电特点,通过调度对象筛选、变时域滚动、局部滚动和事件驱动,实现优化效果和计算效率的平衡。爱尔兰-11、IEEE-33和IEEE-119这3个配电网系统的仿真计算表明,所提优化模型可有效地控制安全约束;改进的滚动时域控制方法计算效率高,优化效果好,对负荷和电价等曲线具有很好的跟踪性能。
The charging of electric vehicles is extraordinarily stochastic and limited by the security constraints in the distribution network. The electric vehicle charging was formulated as an optimization problem that took into account the three-phase distribution network. Furthermore, based on the receding horizon control theory, an efficient real-time charging strategy was proposed as well. By integrated the features of electric vehicle charging, the proposal method could achieve a good trade-off between the profit and the computing efficiency using the variable horizon receding, selection of partial control targets, slack of constraints and event-driven. Simulation results on Irland-ll, IEEE-33 and IEEE-118 distribution networks demonstrate that the proposal optimization model can manage the security constraint effectively. The computing efficiency of the improved proposal strategy is high with excellent optimization effects, while the load and electricity price profile can be tracked well.