电动公交车光储充电站日运行随机优化策略

Stochastic Optimization Strategy for Daily Operation of Electric Bus Charging Station With PV and Energy Storage

针对电动公交车光储充电站的运行优化问题,建立了以充电站的运行成本最小为目标、考虑光伏出力随机性的多场景日前优化模型,在满足充电需求的条件下,实现储能系统的充放电优化调度并给出日内储能初始荷电状态。在实时运行阶段,根据更新的光伏和充电需求的预测,提出了光储充电站的日内滚动优化策略。所建模型考虑了环境温度对电动公交车充电需求的影响。仿真结果验证了所提日前和日内优化策略的有效性,并分析了充电站配置光伏和储能系统的成本效益。

This paper focuses on operation optimization of electric bus charging station with PV and energy storage.Aiming to minimize operation cost of bus station,a day-ahead operating model is established considering randomness of PV power output in multi-scenarios.Under EV charging load constraint,the strategy achieves optimal scheduling for energy storage system and gives initial energy state for intraday rolling optimization strategy.In real time operation stage,according to updated forecasting of PV and charging load demand,this paper proposes a day rolling optimization strategies in electric bus charging station.The model considers influence of environment temperature on electric charging demand.Simulation results illustrate effectiveness of the day-ahead and intraday rolling optimization strategies.Cost and benefit are also analyzed on electric bus charging station equipped with PV and energy storage.