适用于离网型新能源制氢系统的储能规模优化方法研究

杜逸云; 孟进洲; 杨欣; 李标; 程林生; 胡伟

doi:10.19805/j.cnki.jcspe.2025.240131

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适用于离网型新能源制氢系统的储能规模优化方法研究

氢能技术专题 | 更新时间：2025-11-28

- 适用于离网型新能源制氢系统的储能规模优化方法研究
- Research on Energy Storage Scale Optimization Method for Off Grid New Energy Hydrogen Production Systems
- 动力工程学报 2025年45卷第3期页码：452-463
- 作者机构：
  
  1. 国核电力规划设计研究院有限公司,北京,100095
  2. 国家电投集团新疆能源化工有限责任公司,新疆,乌鲁木齐,830063
  3. 中电投新疆能源化工集团达坂城风电有限公司,新疆,乌鲁木齐,830063
- 作者简介：
  
  [ "杜逸云(1989—),女,辽宁沈阳人,高级工程师,博士,研究方向为电氢系统配置优化和控制调用方法等" ]
  [ "程林生(通信作者),教授级高级工程师,硕士,E-mail:chenglinsheng@spic.com.cn" ]
- 基金信息：
  
  国家电投集团统筹研发经费支持项目(KYTC2020ZH06)
- DOI：10.19805/j.cnki.jcspe.2025.240131
  中图分类号： TK91;TQ116.2
- 网络出版：2025-03-15，
  
  纸质出版：2025
- 稿件说明：
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杜逸云,孟进洲,杨欣,李标,程林生,胡伟. 适用于离网型新能源制氢系统的储能规模优化方法研究动力工程学报, 2025, 45(3): 452-463 https://doi.

org/10.19805/j.cnki.jcspe.2025.240131
杜逸云,孟进洲,杨欣,李标,程林生,胡伟. 适用于离网型新能源制氢系统的储能规模优化方法研究动力工程学报, 2025, 45(3): 452-463 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.240131.

org/10.19805/j.cnki.jcspe.2025.240131 DOI：

摘要

针对离网型新能源制氢系统的储能规划

在满足运行需求的情况下

进行了最小化的储能规模配置优化。首先

针对离网型新能源制氢系统

基于k-Shape聚类算法及优化指标

考虑马尔可夫链转移矩阵的应用

提出了新能源曲线生成方法。其次

以最大产氢量为目标

充分考虑新能源出力曲线、电解槽基本响应特性、储能响应特性等

提出离网型新能源制氢系统的储能优化模型。然后

结合新能源曲线及储能优化模型

采用生产模拟的方法并考虑制氢系统运行指标

提出基于连续生产模拟的储能规模修正方法。最后

针对配置84 MW光伏、30 MW风电、14台1 000 m

制氢设备的离网制氢系统进行多年度算例分析。结果表明:配置4.973 MW/4.973 MWh储能时

系统能够取得较好的运行效果

验证了所提出方法的合理性和有效性

实现了储能规模配置过程中兼顾运行需求及经济性。

Abstract

For the energy storage plan of off grid new energy hydrogen production systems

based on the requirements of operation

the minimum energy storage scale configuration was optimized. Firstly

for off grid new energy hydrogen production systems

considering the application of Markov chain transition matrix

a new energy curve generation method was proposed based on k-Shape clustering algorithm and optimization indicators. Secondly

with the goal of maximizing the hydrogen production

a storage optimization model for off grid new energy hydrogen production systems was proposed by fully consider

ing the new energy output curve

basic response characteristics of electrolysis tanks

and energy storage response characteristics. And then

combining the new energy curve and energy storage optimization model and and considering the operating indicators of the hydrogen production system

a production simulation method was adopted to propose an energy storage scale correction method based on continuous production simulation. Finally

a multi-year case study was conducted on an off grid hydrogen production system with 84 MW photovoltaic power

30 MW wind power

and 14 hydrogen production devices with 1 000 m

of per device. Results showed that the system could achieve good operational performance when equipped with 4.973 MW/4.973 MWh energy storage

which verifying the rationality and effectiveness of this method and achieving a balance between operational requirements and economy in the process of energy storage scale configuration.

关键词

Keywords

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