考虑电解槽启停的孤岛风电制氢系统分层能量管理

荆捷; 董砚; 雷兆明; 杨富荃

荆捷,董砚,雷兆明,杨富荃.考虑电解槽启停的孤岛风电制氢系统分层能量管理[J].电测与仪表,2026,63(1):1-12.
JING Jie,DONG Yan,LEI Zhaoming,YANG Fuquan.Hierarchical energy management of islanded wind power hydrogen production system considering start-stop of electrolyzer[J].Electrical Measurement & Instrumentation,2026,63(1):1-12.

考虑电解槽启停的孤岛风电制氢系统分层能量管理

Hierarchical energy management of islanded wind power hydrogen production system considering start-stop of electrolyzer

DOI：10.19753/j.issn1001-1390.2026.01.001

中文关键词: 风电制氢孤岛系统能量管理灰狼算法

英文关键词:wind power hydrogen production, islanded system, energy management, grey wolf algorithm

基金项目:河北重点研发计划项目（21314303D）；河北省科技重大专项项目（23284502Z）

作者中文名	作者英文名	单位
荆捷	JING Jie	河北工业大学电气工程学院，天津 300131
董砚	DONG Yan	河北工业大学电气工程学院，天津 300131
雷兆明	LEI Zhaoming	河北工业大学电气工程学院，天津 300131
杨富荃	YANG Fuquan	河北工业大学电气工程学院，天津 300131

摘要点击次数: 63

中文摘要:

在间歇性和波动性风速下，为了降低碱性电解槽频繁启停以及功率频繁波动对孤岛风电制氢系统经济性和稳定性的影响，提出了一种考虑电解槽启停的孤岛风电制氢系统分层能量管理策略。上层能量管理将电解槽启停惩罚函数加入到系统的目标函数中，建立电解槽启停优化能量管理模型，以提高日收益为目标，利用改进灰狼算法优化电解槽的启停状态,并得到系统各单元的运行计划。中层能量管理根据碱性电解槽的基本工作特性，建立一种基于电解槽功率分级能量管理策略的日内滚动优化模型，并根据日前优化结果和最新预测信息，以最大化系统日收益为目标重新优化系统运行计划。底层能量管理提出一种基于系统运行状态识别的实时能量管理策略，能够根据系统运行状态实时调整系统运行模式。仿真结果表明, 所提出的分层能量管理策略可以减少电解槽的停机时间，减小电解槽的功率波动，有效维持系统功率平衡，并提高系统经济性。

英文摘要:

In order to reduce the influence of frequent start-stop of alkaline electrolyzer and frequent power fluctuation on the economy and stability of islanded wind power hydrogen production system under intermittent and fluctuating wind speed, a hierarchical energy management strategy of islanded wind power hydrogen production system considering the start-stop of electrolyzer is proposed. The upper energy management adds the start-stop penalty function of the electrolyzer to the objective function of the system, and establishes an optimal energy management model for the start-stop of the electrolyzer. In order to improve the daily income, the improved grey wolf algorithm is used to optimize the start-stop state of the electrolyzer, and the operation plan of each unit of the system is obtained. According to the basic working characteristics of alkaline electrolyzer, an intra-day rolling optimization model based on the power grading energy management strategy of electrolyzer is established. According to the dayahead optimization results and the latest forecast information, the system operation plan is re-optimized with the goal of maximizing the daily income of the system. The underlying energy management proposes a real-time energy management strategy based on system operation state recognition, which can adjust the system operation mode in real time according to the system operation state. The simulation results show that the proposed hierarchical energy management strategy can reduce the downtime of the electrolyzer, reduce the power fluctuation of the electrolyzer, effectively maintain the system power balance, and improve the system economy.

查看全文查看/发表评论下载PDF阅读器

关闭