为缓解新能源"弃风弃光"问题，提出了一种基于双层决策模型的江河水路氢链市场竞价方法。首先，阐释了江河水路氢链运行机理，同时设计了其参与氢能市场的决策架构。在此基础上提出基于双层决策模型的江河水路氢链市场竞价机制。其中，上层以日运行收益最大为目标，建立了考虑氢气压缩机精细化功率调节的江河水路氢链运行模型；下层以最大化社会福祉为目标，建立了考虑多主体竞价的氢能市场出清模型。继而，基于KKT条件对模型进行重构，并利用对偶理论和大M法将模型转化为经典的混合整数线性规划（mix-integer linearization programming，MILP）问题，实现对模型的高效求解。算例分析结果表明，较之传统方法，所提策略能够提高系统运行经济性不低于5.4%。所提策略为氢链运行和氢能市场交易提供了一个新的视角。

In order to effectively alleviate the problem of "abandoning wind and light" of new energy, a market bidding method for hydrogen chain of rivers and waterways based on a two-layer decision-making model is proposed. Firstly, the operation mechanism of the hydrogen chain of rivers and waterways is explained, and the decision-making structure for its participation in the hydrogen energy market is designed. On this basis, a bidding mechanism for hydrogen chain market in rivers and waterways based on a two-layer decision-making model is proposed. Among them, the upper level aims to maximize the daily operating income, and establishes a hydrogen chain operation model considering the fine power adjustment of hydrogen compressors. With the goal of maximizing social well-being, the lower level establishes a hydrogen energy market clearance model considering multi-agent bidding. Then, the model is reconstructed based on the KKT condition, and the model is transformed into a classic mix-integer linearization programming (MILP) problem by using duality theory and large M method to achieve efficient solution of the model. The results of case analysis show that compared with the traditional method, the proposed strategy can improve the operation economy of the system by no less than 5.4%. The proposed strategy provides a new perspective for hydrogen chain operation and hydrogen energy market trading.