为提升风光制氢系统效率与寿命，解决可再生能源的波动性与电解槽运行特性不匹配的问题，本文提出一种基于混合电解槽运行特性的功率分配策略。首先，采用基于动态时间规整距离的模糊C均值聚类算法，以准确捕捉风光出力的时序波动特征，实现对全年风光出力数据的典型日划分；其次，基于碱性电解槽（AEL）和质子交换膜电解槽（PEL）的运行特性，以AEL为主要制氢设备、PEL为辅助调节设备，制定功率分配策略，并构建风光制氢系统的经济运行评估模型；最后，通过仿真对所设不同方案的优化结果进行分析与对比，结果表明本文所提策略提高了混合电解槽制氢系统的制氢量、年利润的同时，有效降低了弃风弃光率、寿命惩罚成本和AEL机组功率波动标准差，验证了所提策略的有效性。

To improve the efficiency and lifespan of wind-solar hydrogen production systems and resolve the mismatch between renewable energy intermittency and electrolyzer operational characteristics, this paper proposes a power allocation strategy based on hybrid electrolyzer operational features. An improved fuzzy C-means clustering algorithm incorporating dynamic time warping (DTW) distance is introduced to accurately capture the temporal fluctuation characteristics of renewable generation output, enabling effective classification of typical daily profiles from annual wind and solar power data. Based on the operational differences between alkaline electrolyzers (AEL) and proton exchange membrane electrolyzers (PEL), a power allocation strategy is formulated with AEL as the main hydrogen production unit and PEL as the auxiliary regulation unit, while an economic operation evaluation model is established for the integrated system. Simulation results demonstrate that the proposed strategy enhances hydrogen production and annual profit while significantly reducing renewable energy curtailment, lifespan penalty costs, and AEL power fluctuation standard deviation, thereby validating its effectiveness.