电力系统自动化2025，Vol.49Issue(21)：41-52,12.DOI:10.7500/AEPS20250226006
考虑空洞效应的风电系统概率实用稳定域划分
Probabilistic Practical Stability Region Partition of Wind Power System Considering Hole Effect
摘要
Abstract
From the perspective of nonlinear dynamics,the effects of the probabilistic characteristics of wind power output and load on the probabilistic practical stability region(PPSR)of a multi-machine power system with doubly-fed induction generators(DFIGs)is analyzed using the bifurcation theory.Firstly,a nonlinear differential-algebraic equation model of the system is established,and the influence of introducing probability parameters on the bifurcation characteristics of the system and the topological properties of the stability region is theoretically demonstrated.In particular,it's shown that the degenerate Hopf bifurcation(DHB)will occur under specific probability parameters.Secondly,the active power output of the wind farm and the reactive power load are selected as bifurcation parameters to conduct bifurcation analysis of the system and obtain various bifurcation points,thereby partitioning the PPSR of the system.Based on this,considering the probabilistic characteristics,the PPSR under different probabilistic conditions is partitioned.It is found that the DHB caused by probability change will induce the hole effect in the system's stability region,and the change of probability may also improve the system's stability margin.Finally,the time-domain simulation method is employed to verify the accuracy of the PPSR partition results.The PPSR can more intuitively evaluate the stability of the wind power grid-connected system and provide reference for the parameter adjustment of the system in practical engineering.关键词
风电/并网系统/双馈感应发电机/分岔理论/概率特性/稳定域/空洞效应Key words
wind power/grid-connected system/doubly-fed induction generator(DFIG)/bifurcation theory/probability characteristic/stability region/hole effect引用本文复制引用
胡文曦,吴玉菲,马晓阳,杨顺,梁锦文,袁泽惠..考虑空洞效应的风电系统概率实用稳定域划分[J].电力系统自动化,2025,49(21):41-52,12.基金项目
国家自然科学基金资助项目(52107117). This work is supported by National Natural Science Foundation of China(No.52107117). （52107117）
