孤岛风电制氢系统多时间尺度能量管理

荆捷; 董砚; 谭建鑫; 雷兆明; 杨富荃

doi:doi:10.19912/j.0254-0096.tynxb.2024-0395

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孤岛风电制氢系统多时间尺度能量管理

更新时间：2025-12-02

- 孤岛风电制氢系统多时间尺度能量管理
- Vol. 46, Issue 6, Pages: 130-141(2025)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：doi:10.19912/j.0254-0096.tynxb.2024-0395
  CLC： TK91
- Published Online：07 July 2025，
  
  Published：2025
- 稿件说明：
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荆捷, 董砚, 谭建鑫, et al. 孤岛风电制氢系统多时间尺度能量管理[J]. 2025, 46(6): 130-141.
DOI：

荆捷, 董砚, 谭建鑫, et al. 孤岛风电制氢系统多时间尺度能量管理[J]. 2025, 46(6): 130-141. DOI： doi:10.19912/j.0254-0096.tynxb.2024-0395.

摘要

为减小风能间歇性和波动性对孤岛风电制氢系统经济性、稳定性的影响

提出一种多时间尺度能量管理策略。日前阶段建立日前电解槽启停优化模型

利用改进金豺算法进行求解

以最大期望日收益优化电解槽的启停状态以及系统各单元的运行计划。日内阶段建立日内滚动优化模型并提出一种碱性电解槽功率分级能量管理策略

根据日前优化结果和超短期预测信息

以系统日收益最大重新优化系统运行计划。实时阶段设计一种考虑系统慢动态响应的孤岛风电制氢系统实时能量管理策略

在出现非计划风功率波动时根据系统实时运行状态实时调整系统运行模式。仿真结果表明

所提出的多时间尺度能量管理策略可在波动性风速下有效维持系统功率平衡

减小电解槽的功率波动

提高系统经济性。

Abstract

In order to reduce the impact of wind energy intermittency and volatility on the economy and stability of isdated island wind power hydrogen production system

a multi-time scale energy management strategy is proposed. In the day-ahead stage

the start-stop optimization model of the day-ahead electrolyzer is established

and the improved golden jackpot algorithm is used to solve the problem

so as to optimize the start-stop state of the electrolyzer and the operation plan of each unit of the system with the maximum expected daily income. In the intra-day stage

an intra-day rolling optimization model is established

and a power grading energy management strategy for alkaline electrolyzer is proposed. According to the day-ahead optimization results and ultra-short-term prediction information

the system operation plan is re-optimized with the maximum daily profit of the system. In the real-time stage

a real-time energy management strategy for isdated island wind power hydrogen production system considering the slow dynamic response of the system is designed. When unplanned wind power fluctuations occur

the system operation mode is adjusted in real time according to the real-time operation state of the system. The simulation results show that the proposed multi-time scale energy management strategy can effectively maintain the power balance of the system under fluctuating wind speed

reduce the power fluctuation of the electrolyzer and improve the economy of the system.

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