The distribution of electric vehicle charging load is influenced by user willingness to travel, and effective charging station planning can mitigate the negative impact of EV charging on the power grid. Firstly, we establish travel demand response models and charging path selection strategies for vehicles of different natures based on user transfer characteristics and dynamic charging demand. Secondly, we develop a charging station planning model that considers the maximum usage per unit of time and constraints of each candidate station, and solve the model using Particle Swarm Algorithm. Finally, we verify the effectiveness and reasonableness of the proposed planning method through a specific case study.
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Zhu et al. (2024) studied this question.
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