大规模电动汽车接入场景下配电网电动汽车充电站规划方法研究OA

With the rapid growth of electric vehicle ownership,rational configuration of charging piles quantities within charging stations has great significance for alleviating range anxiety,ensuring the secure operation of distribution networks,and promoting the healthy development of the electric vehicle industry.Firstly,based on analysis of historical parking data,electric vehicle user charging behavior primarily exhibit two distinctive characteristics,including destination charging preference(tendency to charge near destinations)and full-charge habits(to reduce range anxiety).Using these characteristics,an electric vehicle charging load model for different functional areas is constructed.Then,a charging station planning model based on two-stage distributionally robust optimization is developed.The model considers uncertainties in wind power generation and photovoltaic power outputs,along with the charging/discharging effects of energy storage system(ESS)and the reactive power compensation function of static var compensator(SVC).Through dual-norm constraints using both 1-norm and infinity-norm,the model limits the deviation range of uncertainty distributions to balance the economic efficiency and robustness of the model.Subsequently,the model is solved using a column-and-constraint generation algorithm.Finally,through the IEEE 33-bus standard test case,the impacts of ESS and SVC on electric vehicle charging station configuration results are analyzed,and the effectiveness of the proposed model is validated through comparison with alternative models.