合理有效的加氢站网络规划布局，对于大规模推广燃料电池汽车等氢能产业具有重要意义。综合考虑加氢站网络的上下游环节,基于氢源以及交通网络对加氢站进行经济性分析,搭建了加氢站网络用氢成本模型以及流量捕获模型。结合快速非支配遗传算法(Nondominated Sorting Genetic Algorithm Ⅱ,NSGAⅡ)与理想解评价法(Technique for Order Preference by Similarity to an Ideal Solution,TOPSIS),以最小化加氢站网络用氢成本、最大化捕获交通流量为目标,得到加氢站网络的最优规划布局方案(站点个数、规模、位置及氢源选择)。最后，以一个27节点氢源、25节点交通网络为例,分别针对不同氢源原料价格以及运输距离的情况进行优化计算,在优化布局方案下,加氢站网络用氢成本远远低于当前国内加氢站用氢成本(约70元/kg),而捕获的交通流量也达到了总交通流量的70%,算例优化结果进一步说明了规划布局方法的可行性与有效性，对中国加氢站网络的规划布局具有一定的指导意义。

Reasonable network planning for hydrogen refueling station is of great significance to the promotion of hydrogen energy industries such as fuel cell vehicles.Considering the hydrogen refueling station network upstream and downstream, we have carried out the economic analysis of hydrogen refueling station based on the hydrogen source and transportation network, with the model for the cost and flow capture of the hydrogen refueling station network being established.Then in accordance with the Non-dominated Sorting Genetic Algorithm II (NSGA-II) and the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), the optimal plan (number, scale, location and source selection) of the hydrogen refueling station network is obtained with the target of minimizing the cost of hydrogen refueling station network and maximizing the captured traffic flow.Finally, a 27-node hydrogen source and 25-node transportation network model is taken as an example to simulate the optimization scheme in different situations, such as different hydrogen production material prices and transportation distances.The results show that the cost of hydrogen station network is much lower (about 70 yuan/kg) than that under traditional situation. Besides, the captured traffic flow has reached 70% of the total flow rate, which shows that the planning method is feasible and effective.