计及电动汽车充电灵活性的主动配电网多时间尺度优化调度

Multi-time Scale Optimal Scheduling of Active Distribution Network with EV Charging Flexibility

由于风电出力具有不确定性,构建了含有电动汽车参与的主动配电网多时间尺度协调优化模型,模型包括日前-日内2个优化阶段。日前阶段结合风电预测值作初步经济调度;日内阶段,风电出力的预测结果更准确。为了进一步降低配电网与上级电网并网功率的波动性,充分利用电动汽车的灵活性,通过调度电动汽车的充放电以减少功率波动,同时考虑了配电网潮流约束,将系统电压控制在正常范围内。算例仿真结果表明,建立的模型能够平抑等效负荷的波动,兼顾调度的安全性与经济性。

Due to the uncertainty of wind power output,a multi-time scale coordinated optimization model of active distribution network with the participation of electric vehicles was constructed.The model includes two optimization stages:before and within days.The pre-day stage combined with the predicted value of wind power to make preliminary economic dispatching;The prediction results of wind power output are more accurate in intraday stage.In order to further reduce the fluctuation of grid-connected power between the distribution network and the upper power network,the flexibility of electric vehicles is fully utilized,and the power fluctuation is reduced by scheduling the charge and discharge of electric vehicles.At the same time,the power flow constraint of the distribution network is considered,and the system voltage is controlled within the normal range.The simulation results show that the established model can smooth the fluctuation of equivalent load and take into account the security and economy of dispatching.