| 张永强,柳劲松.基于混合遗传算法和强化学习超级充电站智能调度策略[J].电力需求侧管理,2026,28(3):118-124 |
| 基于混合遗传算法和强化学习超级充电站智能调度策略 |
| Intelligent scheduling strategy for supercharging stations based on hybrid genetic algorithm and reinforcement learning |
| 投稿时间：2026-01-10 修订日期：2026-03-13 |
| DOI：10.3969/j.issn.1009-1831.2026.03.017 |
| 中文关键词: 超级充电站 智能调度 混合遗传算法 强化学习 削峰填谷 网-站协同 |
| 英文关键词: supercharging station intelligent scheduling hybrid genetic algorithm reinforcement learning peak shaving and valley filling grid-station coordination |
| 基金项目:国网上海市电力公司科技项目(52094025001M) |
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| 中文摘要: |
| 超级充电站在满足电动汽车快速补能需求的同时,因高功率集中充电特性易在短时间内形成显著负荷峰值,进而影响运行稳定性。因此在电网分时电价与容量约束条件下,以超级充电站运营方为调度主体提出了一种融合混合遗传算法(hybrid genetic algorithm,HGA)与强化学习(reinforcement learning,RL)的智能调度方法(HGA-RL)。通过HGA对用户充电顺序进行全局优化,为功率分配提供合理决策基础;在此基础上,RL动态调控充电功率与时间,实现低电价时段增加负荷、高电价时段削减负荷。仿真结果表明,该方法可有效削减充电负荷峰值、平滑电网负荷曲线,并在兼顾用户满意度的同时降低超充站购电成本,显著提升超充站与电网的协同效率。 |
| 英文摘要: |
| The rapid charging demand of electric vehicles is required to be satisfied by supercharging stations. However, owing to the high-power and concentrated nature of charging, significant load peaks are liable to be generated over short-time intervals, whereby operational stability is adversely affected. Under time-of-use electricity pricing and grid capacity constraints, an intelligent scheduling approach integrating a hybrid genetic algorithm (HGA) with reinforcement learning (RL), denoted as HGA-RL, is developed, within which the supercharging station operator is defined as the decision-making entity. The charging sequence of users is globally optimised by means of HGA, whereby a rational basis for power allocation is established. Subsequently, charging power and scheduling intervals are dynamically regulated through RL, such that load shifting is achieved, with charging demand being increased during low-price periods and reduced during high-price periods.It is demonstrated by simulation results that charging load peaks are effectively mitigated and that the overall load profile is significantly smoothed. Meanwhile, the electricity procurement cost is reduced whilst user satisfaction is maintained, and the coordination efficiency between the supercharging station and the power grid is consequently improved. |
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