目前风光氢能源系统中的能源利用率较低，传统的容量优化根据电解槽固定制氢效率进行建模且仅考虑了系统中存在1个运营商的情况，没有考虑到不同运营商之间的竞争与合作、电解槽工作时制氢效率的变化情况和待机启动成本，导致容量优化结果不理想。为解决上述问题，首先将有机朗肯循环与燃料电池相结合，用于回收余热；通过分析电解槽制氢效率的影响因素构建动态制氢效率数学模型，并引入二进制变量，用于描述电解槽的待机启动成本；采用基于博弈论的容量优化方法，以全年收益最大为目标采用麻雀搜索算法求解博弈的纳什均衡。仿真结果表明：添加余热利用后能源系统的总收益增加了4%；考虑动态制氢效率和待机启动成本后的质子交换膜电解槽容量减少了26.1%；氢储发电站的收益减少了55.3%；风光氢三方组成大联盟时联盟最稳定，且收益最大、容量配置最合理。

Currently, the energy utilization rate of wind-solar-hydrogen energy system is low, and the traditional capacity optimization is modeled based on the fixed hydrogen production efficiency of the electrolyzer and only takes into account the existence of one operator in the system, without considering the competition and cooperation between different operators, the change of hydrogen production efficiency during the operation of the electrolyzer, and the standby start-up cost, which leads to unsatisfactory capacity optimization results. In order to solve the above problems, the organic Rankine cycle is firstly combined with the fuel cell for waste heat recovery; a mathematical model of dynamic hydrogen production efficiency is constructed by analyzing the influencing factors of hydrogen production efficiency of the electrolyzer, and binary variables are introduced for describing the standby startup cost of the electrolyzer; a capacity optimization method based on game theory is adopted, and the Nash equilibrium of the game is solved by using the sparrow search algorithm with the objective of maximizing the annual revenue. The simulation results show that: the total revenue of the energy system increases by 4% after adding waste heat utilization; the capacity of the proton exchange membrane electrolyzer after considering the dynamic hydrogen production efficiency and standby startup cost decreases by 26.1%; the revenue of the hydrogen storage power station decreases by 55.3%; and the coalition is the most stable with the largest revenue and the most reasonable capacity allocation when the three parties, namely, wind solar and hydrogen, form a grand coalition.