电力系统自动化2025，Vol.49Issue(14)：87-98,12.DOI:10.7500/AEPS20240823002
计及全域同步稳定性的并网变换器电压前馈时间常数选取方法
Selection Method for Voltage Feedforward Time Constant for Grid-connected Converter Considering Global Synchronization Stability
摘要
Abstract
By adding voltage feedforward control to the current control loop,the synchronization stability of the grid-connected converter can be improved.However,the time constant value of the voltage feedforward control will significantly affects the large-disturbance and small-disturbance synchronization stability of the grid-connected converter.Therefore,this paper studies the selection method for the time constant of voltage feedforward control while ensuring the global synchronization stability of the grid-connected converter.Firstly,by constructing a large-signal transient model of the grid-connected converter considering voltage feedforward control,the influence mechanism of the voltage feedforward time constant on the large-disturbance synchronization stability of the grid-connected converter is studied.Secondly,by constructing the sequence impedance model of the grid-connected converter,the influence of the time constant on the small-disturbance stability of the grid-connected converter is analyzed.Thirdly,by comprehensively considering the influences of the voltage feedforward time constant on the large-disturbance and small-disturbance synchronization stability of the converter,the selection method for the voltage feedforward time constant is clarified.Finally,by building a simulation model on the StarSim semi-physical platform,the correctness of the theoretical analysis and the selection method is verified.关键词
并网变换器/跟网型变换器/同步稳定性/电压前馈时间常数/大扰动稳定性/小扰动稳定性/序阻抗模型Key words
grid-connected converter/grid-following converter/synchronization stability/voltage feedforward time constant/large-disturbance stability/small-disturbance stability/sequence impedance model引用本文复制引用
刘牧阳,陈永平,陈俊儒,司文佳..计及全域同步稳定性的并网变换器电压前馈时间常数选取方法[J].电力系统自动化,2025,49(14):87-98,12.基金项目
国家自然科学基金资助项目(52407147) （52407147）
新疆维吾尔自治区重大科技专项(2022A01004-1). This work is supported by National Natural Science Foundation of China(No.52407147)and Major Science and Technology Special Project of Xinjiang Uygur Autonomous Region(No.2022A01004-1). （2022A01004-1）
