上海交通大学学报

上海交通大学学报

• • 上一篇    下一篇

基于混合电解槽运行特性的风光制氢系统功率分配策略

  

  1. 1. 上海电力大学 电气工程学院，上海 200090；2.上海交通大学 电气工程学院，上海 200240；3.国网上海市电力公司市区供电公司，上海 200080
  • 作者简介:华佳楠（2000—），硕士生，从事风光制氢系统控制策略研究
  • 基金资助:
    国网上海市电力公司科技项目（52091124000F），中核集团领创科研项目（22GFC-JJ12-476）

Power Allocation Strategy for Wind-Solar Hydrogen Production System Based on Operating Characteristics of Hybrid Electrolyzers

  1. 1. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China；2.School of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China；3. State Grid Shanghai Urban Power Company, Shanghai 200080, China

PDF (PC)

83

摘要：

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。

关键词: 风光制氢系统, 混合电解槽, 功率分配策略, 模糊C均值聚类, 典型日

Abstract:

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.

Key words: wind-solar hydrogen production system, hybrid electrolyzers, power allocation strategy, fuzzy c-means clustering, typical day

中图分类号: