车网模式下考虑电池损耗的电动汽车分布式充放电调度策略

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Abstract To address the issues of new load peaks and high computational overhead encountered by centralized electric vehicle (EV) charging scheduling strategy under static time-of-use prices, this paper proposes a distributed EV charging and discharging scheduling strategy for vehicle-to-grid (V2G) mode. This strategy is based on real-time guiding prices and considers battery degradation. By dynamically linking the EV load with the grid load through real-time guiding prices, a model is formulated with the objective of minimizing user costs while accounting for battery degradation. Utilizing duality theory, the centralized optimization problem is decomposed into a distributed one. This approach enables individual EV to obtain optimal schedules while ensuring stable grid operation. Finally, Monte Carlo simulation is employed to model charging and discharging demands, and simulations and analyses are conducted. The results demonstrate that the proposed strategy can effectively reduce user charging costs, flatten load fluctuations, and decrease computational time.

Key words： electric vehicle (EV) real-time guiding prices vehicle-to-grid (V2G) distributed

Received: 23 December 2025

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Cite this article:

LI Pengguang. Distributed charging and discharging scheduling strategy for electric vehicle considering battery degradation in vehicle-to-grid mode[J]. Electrical Engineering, 2026, 27(7): 17-23.

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https://dqjs.cesmedia.cn/EN/Y2026/V27/I7/17

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