Renewable Energy Charging Station Power Allocation with Dynamic Battery Management

The deployment of renewable energy and energy storage batteries at charging stations, in conjunction with the power grid, forms a new energy structure. While both bring their advantages to the charging station, they also introduce additional complexity in energy management. To address this issue, this paper proposes a power allocation strategy based on dynamic parameter adjustment. The proposed strategy combines peak output and game theory to determine the power distribution between renewable energy, the battery, and the grid. Additionally, the optimal State of Charge parameter for the battery is dynamically adjusted based on future demand data, extending the battery's operational time while ensuring it tracks the demand power. By comparing with existing methods, the proposed strategy demonstrates significant advantages in multiple aspects. Specifically, the utilization of renewable energy increases by 24.82%, the grid energy consumption decreases by 28.25%, and the minimum demand fulfillment rate improves by 11.17%. The simulation results validate the superiority of the proposed strategy.