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August 17, 2025Open Access

A novel electric vehicle charging guidance strategy for distribution grids based on stochastic response capacity

JCJingya ChenJilin University DZDong ZhangShenyang Institute of Engineering HJHongyang JinShenyang Institute of Engineering

Key Points

The proposed charging strategy effectively manages the stochastic response capacity of electric vehicle charging.
Simulation results demonstrate the effectiveness of the new DDPG charging control strategy in distribution grid scenarios.
Latin hypercubic sampling is applied to generate various scenarios to address the stochasticity of input scenery.
The method emphasizes scenario reduction, allowing for more efficient management of EV charging loads in the grid.

Abstract

Abstract In the new power system distribution grid, the source-load mismatch is caused by the uncertainty of scenery and the randomness of EV charging behavior, and this paper proposes a new distribution grid EV charging guidance strategy based on random response capacity. First, the EV stochastic charging load is modeled. Then, to address the stochasticity of scenery output, Latin hypercubic sampling is used to generate scenarios, and the fast antecedent elimination technique with an improved reduction rate is utilized for scenario reduction. Finally, a DDPG EV charging control strategy is established. Simulation examples verify the effectiveness of the method.

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