针对电-氢-交耦合网络中能源生产和用氢需求的协同规划问题，本文聚焦氢储能设施与风光电场的容量配置和设备选址，提出了一种基于改进信息间隙决策理论的绿氢制备系统选址定容方法。首先，构建涵盖绿电、电储与电网交互在内的氢气生产、储存和交通应用全流程模型，实现多能源转化与供需动态匹配的精准模拟；其次，考虑到风光出力的不确定性与交通用氢的随机性，研究引入熵权法和非支配遗传算法II改进信息间隙决策理论，并建立风险规避-机会捕捉规划模型，兼顾制氢成本最小化与电网运行安全性；最后，以IEEE33节点配电网耦合30节点交通网为算例，实验结果验证了所提方法的有效性，使得平准化制氢成本减少5.3%。

Aiming at the coordinated planning problem of energy production and hydrogen demand in the electricity-hydrogen-transportation coupled network, this paper focuses on the capacity configuration and equipment siting of hydrogen energy storage facilities as well as wind-solar farms, and proposes a siting and sizing method for green hydrogen production systems based on the improved information gap decision theory (IM-IGDT). First, a full-process model covering hydrogen production, storage and transportation applications, including the interaction of green electricity, electrical storage and power grid, is constructed to achieve accurate simulation of multi-energy conversion and dynamic supply-demand matching. Second, in view of the uncertainty of wind-solar power output and the randomness of transportation hydrogen demand, an IM-IGDT integrated with entropy weight method and non-dominated sorting genetic algorithm II (NSGA-II) is introduced, and a risk aversion-opportunity capture planning model is established to balance the minimization of hydrogen production cost and the security of power grid operation. Finally, a case study based on the IEEE 33-bus distribution network coupled with a 30-node transportation network is conducted. The experimental results verify the effectiveness of the proposed method, with the levelized cost of hydrogen (LCOH) reduced by 5.3%.