Architecture and Modeling of Doubly-fed Wind Power Generation System Based on Hydrogen Energy Storage Technology

YUAN Tiejiang; DONG Xiaoshun; ZHANG Zengqiang; GUAN Yuhang; MEI Shengwei

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Architecture and Modeling of Doubly-fed Wind Power Generation System Based on Hydrogen Energy Storage Technology

更新时间：2025-12-08

- Architecture and Modeling of Doubly-fed Wind Power Generation System Based on Hydrogen Energy Storage Technology
- Vol. 42, Issue 7, Pages: 2100-2110(2016)
- 作者机构：
  
  1. 新疆大学电气工程学院
  2. 清华大学电机系电力系统及发电设备控制和仿真国家重点实验室
  3. 国网新疆电力公司经济技术研究院
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published Online：31 July 2016，
  
  Published：2016
- 稿件说明：
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YUAN Tiejiang, DONG Xiaoshun, ZHANG Zengqiang, et al. Architecture and Modeling of Doubly-fed Wind Power Generation System Based on Hydrogen Energy Storage Technology[J]. 2016, 42(7): 2100-2110.
DOI：

YUAN Tiejiang, DONG Xiaoshun, ZHANG Zengqiang, et al. Architecture and Modeling of Doubly-fed Wind Power Generation System Based on Hydrogen Energy Storage Technology[J]. 2016, 42(7): 2100-2110. DOI：

摘要

针对风力发电系统面临能量输出不稳定、低电压穿越能力弱等问题

提出将氢储能系统安装在双馈风力发电机组变流器中间直流母线处

构建了基于氢储能技术的双馈风力发电系统的基本架构。进一步

利用宏观能量表示法（EMR）建立了基于氢储能技术的双馈风力发电系统的模型

并基于EMR反转规则建立了系统的最大控制框架。在此基础上

基于MATLAB/Simulink搭建了基于氢储能技术的双馈风力发电系统的仿真模型

并进行了仿真验证

结果表明了氢储能系统能够平抑风电输出功率波动及提高系统的低电压穿越能力

同时验证了所建EMR模型的正确性。

Abstract

We established an architecture of doubly-fed wind power generation system with hydrogen energy storage（HES） devices installed at the DC bus to solve problem that output instability of wind power generation system and low ability of LVRT. Moreover

we established a model of doubly-fed wind power generation system based on hydrogen energy storage technology on energetic macroscopic representation（EMR）

and built a maximal control framework of the system on the EMR rules of inversion. Therefore

simulation verification is conducted through MATLAB/Simulink and the results indicate that hydrogen energy storage system can not only adjust the output power of doubly-fed wind power generator but also improve the ability of LVRT

and the validity of the model is verified at the same time.

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