能源转型背景下，储能作为支撑高比例可再生能源接入和消纳的重要技术手段，逐渐成为虚拟电厂不可或缺的组成部分。其中，储能选型是确保电网安全稳定运行以及提升虚拟电厂调度效率的关键问题。因此，提出了一种基于博弈组合赋权和GRA-MARCOS的虚拟电厂储能选型方法。首先，考虑储能的技术性、经济性、安全性和环保性指标的基础上，构建了储能适应性评价指标体系。其次，基于博弈论将模糊层次分析法得到的主观权重与CRITIC法、MEREC法得到的组合客观权重相结合，以获得指标主客观综合权重。最后，利用灰色关联分析法改进的MARCOS方法计算各备选储能技术的效用函数，并以此对储能进行排序与选型决策。通过算例与灵敏度分析验证了所提储能选型方法的有效性与稳定性。该方法为虚拟电厂不同场景的储能选型提供合理有效的决策方案。

Under the background of the energy transition, energy storage, as an important technical means to support a high proportion of renewable energy access and consumption, has gradually become an indispensable part of virtual power plants. Among them, energy storage selection is a key issue to ensure the safe and stable operation of the power grid and improve the scheduling efficiency of virtual power plants. Therefore, an energy storage selection method based on game combination weighting and GRA-MARCOS was proposed for virtual power plants. Firstly, the evaluation indicator system of energy storage adaptability was constructed on the basis of considering the technical, economic, security, and environmental protection indicators of energy storage. Secondly, based on game theory, the comprehensive subjective and objective weights of the indicators were obtained by combining the subjective weights from FAHP(fuzzy analytic hierarchy process) method with the objective weights derived from the CRITIC and MEREC methods. Finally, the utility function of each alternative energy storage technology was calculated using the MARCOS method improved by GRA(grey relational analysis), and this was used to rank and make selection decisions for energy storage. The validity and robustness of the proposed energy storage selection method were verified through examples and sensitivity analysis. This method provides a reasonable and effective decision-making scheme for energy storage selection in different scenarios of virtual power plants.