随着清洁能源与储能技术的突破性发展，共享氢储电站（SHSPS）正逐步成为储能技术的新型应用模式。为满足多利益主体（包括共享氢储电站与低碳建筑微网群）的协同优化需求，本文提出一种基于Stackelberg博弈的多时间尺度共享氢储电站容量配置框架，旨在实现氢电耦合系统的高效利用。具体而言：上层领导者（共享氢储电站）以运行经济性为目标，结合氢能季节性进行长时间尺度容量规划；下层跟随者（低碳建筑微网群）基于冷-热-电多能源负荷约束，实现短时间尺度的优化运行决策。通过KKT条件将双层博弈模型转化为可求解的双层优化问题，并采用上海某区域实际案例验证方法的有效性。结果表明，所提方法突破了传统配置模型在多时间尺度分析上的局限性，在保障系统功率配置最优的前提下，实现了共享氢储电站与微网运营商的双向经济收益最大化，同时可再生能源消纳率显著提升。

With the breakthrough developments in clean energy and energy storage technologies, shared hydrogen storage power stations (SHSPS) are becoming a new application model for energy storage systems. To meet the collaborative optimization needs of multiple stakeholders (including SHSPS and low-carbon building microgrid clusters), this study proposes a Stackelberg game-based multi-time scale capacity configuration framework for SHSPS, aiming to achieve efficient utilization of hydrogen-electric coupled systems. Specifically, the upper-level leader (SHSPS) conducts long-term capacity planning targeting operational economy while incorporating hydrogen’s seasonal characteristics, and the lower-level followers (low-carbon building microgrid clusters，LBMC) optimize short-term operations under cooling, heating, and electricity load constraints. By transforming the bi-level game model into a solvable bi-level optimization problem using KKT conditions, the method’s effectiveness is validated through a real-world case study in a Shanghai region. Results show the proposed approach overcomes the limitations of traditional configuration models in multi-timescale analysis. While ensuring optimal system power configuration, it maximizes bidirectional economic benefits for both SHSPS and LBMC operators and significantly improves the renewable energy accommodation rate.