基于模糊机会约束的低碳园区电-氢混合储能优化配置

李平; 宋登科; 李佳伟; 霍明; 牟晨东

doi:10.19725/j.cnki.1007-2322.2024.0029

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基于模糊机会约束的低碳园区电-氢混合储能优化配置

储能 | 更新时间：2026-06-02

- 基于模糊机会约束的低碳园区电-氢混合储能优化配置
- Fuzzy Chance Constraint-based Optimal Allocation of Electric-hydrogen Hybrid Energy Storage in Low-carbon Parks
- 现代电力 2026年43卷第3期页码：561-569
- 作者机构：
  
  1. 国网内蒙古东部电力有限公司建设分公司, 内蒙古自治区,呼和浩特市,010020
  2. 国网内蒙古东部电力有限公司综合服务分公司, 内蒙古自治区,呼和浩特市,010020
- 作者简介：
  
  李平(1988)，男，硕士，高级工程师，通信作者，研究方向为新型电力系统、储能优化运行，E-mail：lp52772@outlook.com
  宋登科(1984)，男，学士，高级工程师，研究方向为电力系统规划，E-mail：331673842@qq.com
  李佳伟(1992)，男，硕士，工程师，研究方向为综合能源系统，E-mail：ljwbait@outlook.com
  霍明(1990)，男，学士，工程师，研究方向为电力系统优化运行，E-mail：329150524@qq.com
  牟晨东(1995)，男，硕士，工程师，研究方向为储能技术应用，E-mail：mcdhit@yeah.net
- 基金信息：
- DOI：10.19725/j.cnki.1007-2322.2024.0029
  中图分类号： 3
- 纸质出版：2026
- 稿件说明：
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李平, 宋登科, 李佳伟, 等. 基于模糊机会约束的低碳园区电-氢混合储能优化配置[J]. 现代电力, 2026,43(3):561-569.

LI Ping, SONG Dengke, LI Jiawei, et al. Fuzzy Chance Constraint-based Optimal Allocation of Electric-hydrogen Hybrid Energy Storage in Low-carbon Parks[J]. 2026, 43(3): 561-569.
李平, 宋登科, 李佳伟, 等. 基于模糊机会约束的低碳园区电-氢混合储能优化配置[J]. 现代电力, 2026,43(3):561-569. DOI： 10.19725/j.cnki.1007-2322.2024.0029.

LI Ping, SONG Dengke, LI Jiawei, et al. Fuzzy Chance Constraint-based Optimal Allocation of Electric-hydrogen Hybrid Energy Storage in Low-carbon Parks[J]. 2026, 43(3): 561-569. DOI： 10.19725/j.cnki.1007-2322.2024.0029.

摘要

在“双碳”目标背景下，针对源荷不确定性问题，该文提出一种基于模糊机会约束的低碳园区电-氢混合储能优化配置方法，以提升系统经济效益与环境效益。首先，考虑电-氢耦合系统中电解槽、压缩机、储氢罐与燃料电池的灵活运行条件，建立电-氢混合储能元件模型。其次，根据可转移负荷、可中断负荷等灵活性负荷的用电特性，建立源荷互动模型。在此基础上，对新能源出力与负荷的不确定性进行模糊参数描述，以系统综合成本最小为目标提出低碳园区电-氢混合储能优化配置模型，实现电-氢混合储能位置与容量的最优配置。最后，通过IEEE 33节点系统算例验证了所提方法对提升系统效益的有效性。

Abstract

In the context of "double carbon" target

regarding the issue of source load uncertainty

in this paper we propose a fuzzy chance constraint-based method for electric-hydrogen hybrid energy storage in low-carbon parks to optimize the economic and environmental benefits of the system

aiming to address the source-load uncertainty issue. Firstly

an electric-hydrogen hybrid energy storage element model is established considering the flexible operation conditions of electrolytic tank

compressor

hydrogen storage tank and fuel cell within the coupled electric-hydrogen system. Secondly

a source-load interaction model is developed according to the power consumption characteristics of flexible loads

such as shiftable load and interruptible load. On this basis

a fuzzy parameter description for the uncertainty of new energy output and load is established. The optimal configuration model of electric-hydrogen hybrid energy storage in a low-carbon park aims to minimize the comprehensive cost of the system

thus realizing the optimal configuration of electric-hydrogen hybrid energy storage location and capacity. Finally

the effectiveness of the proposed method in enhancing system efficiency is verified through an example of the IEEE 33-bus system.

关键词

Keywords

references

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