Multi-time-scale Operation Optimization Method for the Electricity-hydrogen Coupling System for New Energy Accommodation

YANG Mengyuan; LIANG Danxi; ZONG Zheng; SONG Jie; KE Shaojie; YANG Yunxi; XU Guizhi; SHENTU Leixuan

doi:10.13296/j.1001-1609.hva.2026.07.005

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Multi-time-scale Operation Optimization Method for the Electricity-hydrogen Coupling System for New Energy Accommodation

Key Technologies and Full-chain Techno-economic Analysis of Green Hydrogen Systems | 更新时间：2026-07-06

- Multi-time-scale Operation Optimization Method for the Electricity-hydrogen Coupling System for New Energy Accommodation
- High Voltage Apparatus Vol. 62, Issue 7, Pages: 56-69,77(2026)
- 作者机构：
  
  中国电力科学研究院有限公司，北京 100192
  国网浙江省电力有限公司电力科学研究院，杭州 310000
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2026.07.005
  CLC：
- Received：26 January 2026，
  
  Revised：2026-03-28，
  
  Published：16 July 2026
- 稿件说明：
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YANG Mengyuan, LIANG Danxi, ZONG Zheng, et al. Multi-time-scale Operation Optimization Method for the Electricity-hydrogen Coupling System for New Energy Accommodation[J]. High Voltage Apparatus, 2026, 62(7): 56-69,77.
DOI：

YANG Mengyuan, LIANG Danxi, ZONG Zheng, et al. Multi-time-scale Operation Optimization Method for the Electricity-hydrogen Coupling System for New Energy Accommodation[J]. High Voltage Apparatus, 2026, 62(7): 56-69,77. DOI： 10.13296/j.1001-1609.hva.2026.07.005.

摘要

在“双碳”目标与绿电直连政策背景下，电—氢耦合系统是消纳新能源、制备绿氢的重要形式。针对现有优化研究场景适配性不足、模型精细化程度有限、对辅机系统约束考虑欠缺等问题，文中面向并网型绿电直连场景的新能源消纳需求，开展多时间尺度运行优化研究。构建计及辅机系统能耗特性与安全边界的多类型电解槽集群协同模型，建立日前—日内双层优化框架，建立多类型电解制氢异构系统性能补偿模型，提出兼顾差异化调节特性、约束动态响应的多目标协同运行策略。多场景仿真表明，所提效益最高方案可实现能耗、寿命与经济性协同平衡，为各场景综合最优策略；日内优化核心指标波动控制在1%左右，跟踪精度与稳定性良好；混联系统可有效平抑绿电波动，提升工程实用性与产氢效率。所提方法实现了新能源消纳、设备安全与经济性的多目标优化，可为电—氢耦合系统工程化应用提供支撑。

Abstract

Against the background of the“dual carbon”goal and green power direct connection policy

the electricityhydrogen coupling system represents an important form of renewable energy integration and green hydrogen production. To address the limitations of existing optimization studies

including insufficient scenario adaptability

limited model refinement

and inadequate consideration of auxiliary system constraints

in this paper a multi-time-scale operation optimization study is performed with the aim of meeting the renewable energy integration requirements of gridconnected direct green electricity asecnarios. A collaborative model for multi-type electrolyzer clusters is constrcuted by considering the energy consumption characteristics and safety boundaries of auxiliary system. A day-ahead and two-layer optimization framework

along with a performance compensation model for heterogeneous multi-type electrolyticdrogen production systems is set up. A multi-objective collaborative operation strategy that balances differentiated regulation characteristics and dynamic constraints response is proposed. The multi-scenario simulations show that the proposed optimal benefit scheme can achieve a synergistic balance among energy consumption

service life and econoic performanc

and is identified as the comprehensive optimal strategy for various scenarios. The core indicator fluctuation of intraday optimization is maintained at around 1%

with favorable tracking accuracy and stability. The green power fluctuations can be effectively suppressed by the hybrid system and the engineering practicality and hydrogen production efficiency can be improved. The proposed method can not only achieve multi-objective optimization of renewable energy integration safety

and economic efficiency

but also provide support for the engineering application of electricity-hrdrogen coupling systems.

关键词

Keywords

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