针对港口园区用能成本高、可再生能源利用率低的问题，提出一种港口风光氢储冷热电联供系统协调优化运行方法。首先，构建包含吸收式制冷、储冷形式的港口冷热电联供系统协同运行模型，解决冷藏集装箱电制冷模式能耗高、用能需求峰值集中的问题。而后，制定氢储能电热联合调控方案，通过电解制氢装置、燃料电池的电热联产与余热回收，提高氢储能的综合能源利用效率。最后，基于风险规避的信息间隙决策论，提出了港口风光氢储运行策略不确定性优化算法，充分发挥氢-电-冷-热储能的灵活性调节能力。以上述方法为基础，结合新加坡裕廊海港数据，构建仿真模型对所提方法进行验证。仿真结果表明，所提出的协调优化运行方法不仅能够优化能源利用，提高系统经济效益，还能大幅度降低绿色港口的碳排放，具有显著的环境效益。

To address the issues of high energy costs and low renewable energy utilization in port industrial parks, this paper proposes a coordinated optimization method for the operation of a port wind–solar–hydrogen–storage integrated cold–heat–electricity cogeneration system. First, a collaborative operation model of the port cold–heat–electricity system incorporating absorption refrigeration and cold storage is established to mitigate the high energy consumption and peak power demand caused by the conventional electric refrigeration mode of reefer containers. Then, a hydrogen storage–based electro-thermal coordinated control scheme is developed, in which the combined heat and power generation and waste heat recovery of electrolyzers and fuel cells are utilized to enhance the overall energy efficiency of hydrogen storage. Finally, based on the risk-averse Information Gap Decision Theory (IGDT), an uncertainty optimization algorithm for the operation strategy of the wind–solar–hydrogen–storage system is proposed to fully exploit the flexibility of the hybrid hydrogen–electricity–cold–heat energy storage system. Using operational data from Jurong Port in Singapore, a simulation model is constructed to validate the proposed approach. The results demonstrate that the proposed coordinated optimization method can effectively improve energy utilization and system economy while significantly reducing carbon emissions, providing both economic and environmental benefits for the development of green ports.