面向新能源消纳的电—氢耦合系统多时间尺度运行优化方法

杨梦缘; 梁丹曦; 宗正; 宋洁; 柯绍杰; 杨云溪; 徐桂芝; 申屠磊璇

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

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面向新能源消纳的电—氢耦合系统多时间尺度运行优化方法

绿氢系统关键技术与全链条经济性分析 | 更新时间：2026-07-06

- 面向新能源消纳的电—氢耦合系统多时间尺度运行优化方法
- Multi-time-scale Operation Optimization Method for the Electricity-hydrogen Coupling System for New Energy Accommodation
- 高压电器 2026年62卷第7期页码：56-69,77
- 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：
  
  杨梦缘（1999—），男，硕士，助理工程师，主要研究方向为电氢互动调控、场站能量管控（E-mail:18010283090@163.com）。
  梁丹曦（1992—），女，硕士，高级工程师，主要研究方向为电氢系统优化与控制技术、电氢协同优化调度技术（E-mail:liangdanxi@sina.com）。
  徐桂芝（1976—），女，硕士，教授级高级工程师，主要研究方向为新型储能、大规模储能技术、智慧能源（通信作者）（E-mail:xuguizhi@epri.sgcc.com.cn）。
- 基金信息：
  
  国家电网公司科技项目资助;Science and Technology Project of State Grid Corporation of China(4000-202499318A-1-3-ZB)
- DOI：10.13296/j.1001-1609.hva.2026.07.005
  中图分类号：
- 收稿：2026-01-26，
  
  修回：2026-03-28，
  
  纸质出版：2026-07-16
- 稿件说明：
移动端阅览
杨梦缘, 梁丹曦, 宗正, 等. 面向新能源消纳的电—氢耦合系统多时间尺度运行优化方法[J]. 高压电器, 2026,62(7):56-69,77.

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.
杨梦缘, 梁丹曦, 宗正, 等. 面向新能源消纳的电—氢耦合系统多时间尺度运行优化方法[J]. 高压电器, 2026,62(7):56-69,77. DOI： 10.13296/j.1001-1609.hva.2026.07.005.

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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