Optimization scheduling with multiple stakeholders in V2G mode
To address the load fluctuations and stability degradation caused by the random connection of large-scale electric vehicles to the power grid,we propose an optimization scheduling strategy based on the vehicle network interconnection mode,which considers EV drivers,EV As,and the power grid.The fluctuation of grid load is minimized while the benefits of EV As are maximized.The the cost of battery loss is considered while EV drivers'intentions and scheduling ability are emphasized,aiming to minimize the charging costs of electric vehicles.The particle swarm optimization(PSO)is employed to analyze the model.Our results show our model effectively suppresses grid load fluctuations and delivers the highest economic returns to EV As and EV drivers.
electric vehiclevehicle-to-gridaggregatorbattery lossload fluctuation
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