Leader-Follower Game-based Interval Optimized Scheduling of EV-contained Virtual Power Plants
Under the background of"dual carbon",the proportions of electric vehicles and distributed generations are con-stantly increasing,and virtual power plants provide important ideas for coping with distributed generations and EV grid connection.The conflicts of interest between vehicle-grid entities,and the uncertainties in both the controllable number of EVs and distributed generations'output,pose difficulties in optimizing scheduling work.In this context,this article pro-poses a vehicle-grid dual-layer optimized scheduling model based on interval optimization theory.The upper level model aims to minimize the operating cost of virtual power plants and uses interval optimization theory to describe the uncertain-ty of wind and solar power output.The updated electricity price information is transmitted to the lower level model.The lower level model aims to minimize the EV charge and discharge cost,solves the charging and discharging powers,and re-turns to the upper level optimization model.The analysis results of the case analysis demonstrate that the proposed dual-layer optimization model significantly improves the economic efficiency of virtual power plants and electric vehicles,fully utilizes the"source-load"characteristics of EVs,and increases the absorption and consumption of renewable sources.
virtual power plantelectric vehicleinterval numberdouble layer optimizationvehicle-grid interaction
万方数据
维普
