Optimization method reduces charging costs in electric vehicles, suggesting benefits for power grid stability.
In order to cope with the challenges brought by the rapid development of electric vehicles to the safe and stable operation of the power grid, this paper proposes an optimization method of orderly charging of electric vehicles based on user demand response. Firstly, this paper establishes the EV charging load model, and introduces the model considering user demand response. Secondly, an orderly charging guidance method for electric vehicles based on user demand is designed, aiming to guide users to adjust charging behavior with dynamic electricity price by considering user demand, so as to reduce the load fluctuation of the power grid, reduce the charging cost, and ensure the operation stability of the power grid. Finally, through the improved particle swarm optimization (PSO) algorithm, the simulation results show that the optimized charging strategy can effectively smooth the load curve of the grid, reduce the load pressure during peak hours, reduce the network loss and voltage fluctuations, and effectively control the charging cost of users.
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Yong-qi et al. (2025) studied this question.
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