电源学报2026，Vol.24Issue(5)：68-76,9.DOI:10.13234/j.issn.2095-2805.2026.5.68
基于功率动态区域划分的自适应虚拟同步发电机控制策略
Adaptive Virtual Synchronous Generator Control Strategy Based on Power Dynamic Region Division
摘要
Abstract
With the increasing proportion of renewable energy in the grid,the overall damping and inertia of the grid decline,which brings challenges to the safe and stable operation of the grid.Virtual synchronous generator(VSG)technology,by simulating the characteristics of synchronous generator,brings damping and inertia support to the grid.However,it inevitably brings problems such as active low-frequency oscillation and active steady-state deviation.Through the establishment of VSG model,the oscillation mechanism of VSG is analyzed.The small-signal model of active power reveals the principle of low-frequency oscillation and steady-state deviation of active power caused by moment of inertia and damping coefficient.In order to suppress the low-frequency oscillation of active power and eliminate the steady-state deviation of active power,an adaptive VSG control strategy based on power dynamic region division is proposed.According to the different power change rates,the system is divided into the acceleration region and the deceleration region,so as to adaptive control the rate of increase or decrease of the moment of inertia and the damping coefficient,so that VSG has good dynamic characteristics in different working modes.The proposed strategy can effectively suppress the active low-frequency oscillation of VSG,reduce the steady-state deviation of the active power,and improve the active power support capability of VSG.Finally,the system simulation model is built in MATLAB/Simulink,and the correctness of the proposed strategy is verified.关键词
低频振荡/稳态偏差/功率动态区域划分/增减速率/有功功率支撑Key words
Low-frequency oscillation/steady-state deviation/power dynamic region division/rate of increase and decrease/active power support分类
信息技术与安全科学引用本文复制引用
智明,杨飞,刘东亮,邹杰,程鹏..基于功率动态区域划分的自适应虚拟同步发电机控制策略[J].电源学报,2026,24(5):68-76,9.基金项目
国网江苏省电力公司科技资助项目(J2023104)This work is supported by State Grid Corporation of Jiangsu Electric Power Company under the grant J2023104 （J2023104）
