
上海电力大学 电气工程学部,上海 200090
Received:03 November 2025,
Revised:2026-02-05,
Online First:22 July 2026,
Published:25 July 2026
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李东东,刘一鸣,赵耀等.考虑构网型储能的PMSG并网系统小干扰稳定性分析[J].浙江电力,2026,45(07):60-68.
LI Dongdong,LIU Yiming,ZHAO Yao,et al.Small-signal stability analysis of a PMSG grid-connected system considering grid-forming energy storage[J].ZHEJIANG ELECTRIC POWER,2026,45(07):60-68.
李东东,刘一鸣,赵耀等.考虑构网型储能的PMSG并网系统小干扰稳定性分析[J].浙江电力,2026,45(07):60-68. DOI: 10.19585/j.zjdl.202607006.
LI Dongdong,LIU Yiming,ZHAO Yao,et al.Small-signal stability analysis of a PMSG grid-connected system considering grid-forming energy storage[J].ZHEJIANG ELECTRIC POWER,2026,45(07):60-68. DOI: 10.19585/j.zjdl.202607006.
在大规模PMSG(永磁同步电机)风电场并网系统中,应用GFMES(构网型储能)可为系统提供虚拟惯量以增强电网稳定性,但会使得系统小干扰稳定性的准确判断面临更大挑战。为此,提出一种基于eISS(指数输入状态稳定性)理论的稳定指标。首先,计及延时特性和虚拟惯量作用,将考虑GFMES影响的PMSG风电场并网系统建模为等效TDSSM(时变离散状态空间模型)。其次,基于TDSSM推导出全局渐近增益矩阵来量化各个子系统间的相互作用。然后,根据eISS理论提出EDSCR(指数动态短路比)并进行充要性证明,EDSCR用以描述PMSG-GFMES系统的小干扰稳定边界。最后,基于MATLAB平台进行仿真分析和对比研究,验证了所提模型和指标的有效性。
In large-scale grid-connected systems of permanent magnet synchronous generator (PMSG) wind farms, grid-forming energy storage (GFMES) can provide virtual inertia to enhance grid stability; however, it also makes accurate assessment of small-signal stability more challenging. To address this issue, a stability index based on exponential input-to-state stability (EISS) theory is proposed. First, considering time-delay characteristics and the effect of virtual inertia, the PMSG wind farm grid-connected system considering GFMES is modeled as an equivalent time-varying discrete state-space model (TDSSM). Second, based on the TDSSM, a global asymptotic gain matrix is derived to quantify the interactions among subsystems. Then, an exponential dynamic short-circuit ratio (EDSCR) is proposed based on EISS theory, and its necessary and sufficient conditions are rigorously established. The EDSCR is used to characterize the small-signal stability boundary of the PMSG-GFMES system. Finally, simulation studies and comparative analyses on the MATLAB platform verify the effectiveness of the proposed model and index.
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