考虑多主体效益的光储充电站两阶段规划模型OA

With the substantial increase in charging demand from electric vehicle(EV)users,distributed charging stations integrating with photovoltaic(PV)and energy storage systems(ESS)have become significantly interdepen-dent with power distribution networks.To address this,a two-stage siting and sizing planning model for PV-ESS inte-grated charging stations considering multi-agent benefits is proposed,along with a solution framework based on the improved Harris hawks optimization(IHHO)algorithm and the alternating direction method of multipliers(ADMM).First,ArcGIS is used to extract regional road network data.A transition probability matrix is constructed based on the travel characteristics of EV users,and the charging demand is predicted using the Monte Carlo simula-tion.Next,a two-stage planning model for PV-ESS integrated charging stations,considering multi-agent benefits,is developed.In the first stage,a siting model focused on the user side is established,with time and distance costs as the objective function,and solved using the IHHO algorithm.The second stage balances the interests of both the charging station and the distribution network,with separate objective functions to minimize distribution network costs and charging station operating costs,solved iteratively using the ADMM algorithm.Finally,case simulations validate that the proposed model effectively balances multi-agent benefits,reduces the total system cost,and im-proves the voltage quality of the distribution network.