电网技术2026，Vol.50Issue(9)：3522-3533,中插6-中插10,17.DOI:10.13335/j.1000-3673.pst.2026.0676
基于奇异值分析的构网型变流器并联系统小干扰稳定裕度量化与振荡风险评估
Small-signal Stability Margin Quantification and Oscillation Risk Assessment of Parallel Systems of Grid-forming Converters Using a Singular Value Analysis
摘要
Abstract
Grid-forming(GFM)converters can provide voltage and frequency support for power systems.However,the parallel systems of GFM converters still face a high risk of oscillations.It is difficult for traditional stability indicators to accurately and quickly quantify the stability margin for certain non-minimum-phase systems to assess oscillation risks.To address this issue,this paper presents a stability-margin indicator based on singular value theory for analyzing the stability of parallel systems.Firstly,a small-signal model is established for a single GFM converter on the joint power-voltage control timescale.This model can describe the dynamic characteristics of the phase and magnitude of the internal voltage under active and reactive power excitation from the voltage-source perspective.Subsequently,a standard feedback model for a parallel system of GFM converters is constructed,and a generalized method for calculating the robust stability margin is proposed.Finally,the influence of control parameters on the stability margin is analyzed.Simulations verify the correctness of the proposed indicator,and comparative experiments show that it is more accurate and more widely applicable than traditional stability indicators.The singular value-based stability margin can accurately assess the oscillation risks in parallel systems of GFM converters,thereby providing a theoretical basis for equipment parameter design.关键词
构网型变流器/小干扰稳定性/稳定裕度/奇异值/振荡风险评估Key words
GFM converters/small-signal stability/stability margin/singular value/oscillation risk assessment分类
信息技术与安全科学引用本文复制引用
郑皖宁,纪一帆,望紫怡,王栋,田李星,胡家兵..基于奇异值分析的构网型变流器并联系统小干扰稳定裕度量化与振荡风险评估[J].电网技术,2026,50(9):3522-3533,中插6-中插10,17.基金项目
国家自然科学基金项目(62303356,52307217).Project Supported by National Natural Science Foundation of China(62303356,52307217). （62303356,52307217）
