Research on capacity optimization of wind-PV-hydrogen hybrid microgrid energy storage system

Liang Tao; Cai Chunjiang; Tan Jianxin; Jing Yanwei; Huang Zhiqiang; Wu He

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Research on capacity optimization of wind-PV-hydrogen hybrid microgrid energy storage system

更新时间：2026-10-15

- Research on capacity optimization of wind-PV-hydrogen hybrid microgrid energy storage system
- Vol. 63, Issue 10, (2026)
- 作者机构：
  
  1. 河北工业大学人工智能与数据科学学院
  2. 新天绿色能源股份有限公司
  3. 承德大元新能源有限公司
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2026
- 稿件说明：
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Liang Tao, Cai Chunjiang, Tan Jianxin, et al. Research on capacity optimization of wind-PV-hydrogen hybrid microgrid energy storage system[J]. 2026, 63(10).
DOI：

Liang Tao, Cai Chunjiang, Tan Jianxin, et al. Research on capacity optimization of wind-PV-hydrogen hybrid microgrid energy storage system[J]. 2026, 63(10). DOI：

摘要

储能系统作为微电网的核心组成部分，其容量配置直接影响系统运行的经济性。文章创新性地提出氢-电混合储能方案，对风-光-氢混合微电网系统进行优化配置。基于HOMER Pro仿真软件，构建以系统总净现值（net present value

NPC）最小化为目标函数、同时兼顾负荷缺失率的优化模型。仿真结果表明，相较于传统储能方式，该混合储能方案在保证供电可靠性的前提下，在经济性和安全性方面具有双重优势。

Abstract

As the core component of microgrid

the capacity configuration of energy storage system directly affects the economy of system operation. In this paper

a hydrogen-electric hybrid energy storage scheme is proposed to optimize the configuration of the wind-PV-hydrogen microgrid system. Based on HOMER Pro simulation software

an optimization model is constructed to minimize the total net present value (NPC) of the system as the objective function

taking into account the load loss rate. The simulation results show that

compared with the traditional energy storage method

the proposed hybrid energy storage scheme has dual advantages in economy and security under the premise of ensuring the reliability of power supply.

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