Multi-time Scale Optimal Scheduling of Active Distribution Network with EV Charging Flexibility
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.
electric vehicle charging and dischargingActive distribution networkMulti-time scale optimizationWind power consumptionVoltage control
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