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| 考虑移动储能的虚拟电厂主从博弈双层鲁棒优化方法 |
| A two-tier robust optimization method for virtual power plant master-slave game considering mobile energy storage |
| 投稿时间：2025-04-21 修订日期：2025-07-31 |
| DOI： |
| 中文关键词: 虚拟电厂 移动储能 主从博弈 鲁棒优化。 |
| 英文关键词: virtual power plant mobile energy storage master-slave game robust optimisation |
| 基金项目:国家自然科学基金(62133008)；泰山产业领军人才工程资助（NO.tscx202312127）； 国网公司总部科技项目（5100-202116567A-0-5-SF） |
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| 中文摘要: |
| 针对虚拟电厂多主体利益博弈与灵活性资源配置问题，本文提出了一种考虑移动储能的虚拟电厂主从博弈双层鲁棒优化方法。通过构建虚拟电厂运营商与多主体的Stackelberg博弈框架，揭示动态定价策略与资源协同调度的交互机理，并将电动汽车作为移动储能资源嵌入模型以优化负荷峰谷调节。采用鲁棒优化处理电动汽车充放电不确定性，并运用贝叶斯算法求解主从博弈模型，提升调度方案鲁棒性。案例验证表明，该模型能有效协调多主体利益诉求，实现电动汽车灵活性资源优化配置，为电力市场环境下的虚拟电厂经济调度提供高效鲁棒的技术支撑。 |
| 英文摘要: |
| Aiming at the virtual power plant multi-body interest game and flexibility resource allocation problem, this paper proposes a two-layer robust optimization method for virtual power plant master-slave game considering mobile energy storage. By constructing a Stackelberg game framework between the virtual power plant operator and multiple subjects, the interaction mechanism between the dynamic pricing strategy and the cooperative scheduling of resources is revealed, and electric vehicles are embedded into the model as flexibility resources to optimise the peak and valley regulation of loads. Robust optimisation is adopted to deal with electric vehicles charging and discharging uncertainties, and Bayesian algorithm is applied to solve the master-slave game model to improve the robustness of the scheduling scheme. Case validation shows that the model can effectively coordinate the interests of multiple subjects, achieve the optimal allocation of electric vehicles flexibility resources, and provide efficient and robust technical support for the economic dispatch of virtual power plant under the power market environment. |
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