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基于动力学特性的构网型燃料电池发电系统并网稳定性分析

龚梓轩 谢长君 黄云辉 崔建浩 王喆伟 王栋

电力系统自动化2026,Vol.50Issue(16):100-111,12.
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电力系统自动化2026,Vol.50Issue(16):100-111,12.DOI:10.7500/AEPS20251216003

基于动力学特性的构网型燃料电池发电系统并网稳定性分析

Grid-connected Stability Analysis of Grid-forming Fuel Cell Power Generation Systems Based on Dynamic Characteristics

龚梓轩 1谢长君 1黄云辉 2崔建浩 1王喆伟 1王栋1

作者信息

  • 1. 武汉理工大学自动化学院,湖北省武汉市 430070
  • 2. 武汉理工大学自动化学院,湖北省武汉市 430070||武汉理工大学深圳研究院,广东省 深圳市 518000
  • 折叠

摘要

Abstract

Against the backdrop of the accelerated energy transition,the application of grid-forming capabilities of fuel cells holds great potential.This paper proposes a small-signal stability analysis method based on dynamic theory for the multi-timescale stability problem of grid-forming fuel cell power generation systems.Firstly,a small-signal model of the grid-forming fuel cell power generation system is established.Secondly,by introducing the quantitative indicators of the synchronous component and the damping component,the dynamic model of the system is constructed,revealing the stability evolution law under various operating conditions.Then,by combining the participation factor analysis method with the dynamic characteristics,the internal dynamics of the fuel cell and the dynamic coupling mechanism between the cell-side DC voltage control parameters and the power synchronous control and AC voltage control of the grid-forming converter are deeply analyzed.Finally,the time-domain simulation based on the MATLAB/Simulink platform and the hardware-in-the-loop experiment verification show that the proposed analysis method can accurately predict the stability boundary of the system.

关键词

燃料电池/构网/多时间尺度/小信号稳定性/动力学模型/耦合

Key words

fuel cell/grid-forming/multi-timescale/small-signal stability/dynamic model/coupling

引用本文复制引用

龚梓轩,谢长君,黄云辉,崔建浩,王喆伟,王栋..基于动力学特性的构网型燃料电池发电系统并网稳定性分析[J].电力系统自动化,2026,50(16):100-111,12.

基金项目

国家自然科学基金智能电网联合基金重点资助项目(U24B20103) (U24B20103)

广东省基础与应用基础研究基金资助项目(2023A1515240052). This work is supported by National Natural Science Foundation of China(No.U24B20103)and Guangdong Basic and Applied Basic Research Foundation(No.2023A1515240052). (2023A1515240052)

电力系统自动化

1000-1026

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