电力系统保护与控制2025，Vol.53Issue(19)：101-113,13.DOI:10.19783/j.cnki.pspc.241624
基于振荡能量法的构网型变流器振荡特性分析与参数优化
Analysis of oscillation characteristics and parameter optimization of grid-forming converters based on the oscillation energy method
摘要
Abstract
Grid-forming converters can actively provide inertia and frequency support to the power grid.However,their external characteristics,similar to those of synchronous generators,may complicate the system oscillation characteristics,making oscillation source identification and controller parameter tuning more challenging.To evaluate system oscillation characteristics with grid-connected converters,this paper proposes a method for analyzing the oscillation characteristics and optimizing the parameters of grid-forming converters based on the oscillation energy method.First,a detailed model of the grid-forming converter and its oscillation energy model are constructed,and the accuracy of the energy model is verified.Based on this,the influence of controller parameters on oscillation energy is quantitatively analyzed using trajectory sensitivity techniques,allowing for the identification of the dominant control parameters that affect system oscillation state.Consequently,converter control parameters are optimized and tuned.Finally,a four-machine two-area system model with grid-forming converters is constructed in DIgSILENT/PowerFactory.The oscillation energy flow paths within the system are illustrated,verifying the accuracy of oscillation source identification and key parameters recognition,as well as the effectiveness of oscillation suppression after parameter tuning.关键词
构网型变流器/振荡能量/参数优化/轨迹灵敏度Key words
grid-forming converter/oscillation energy/parameter optimization/trajectory sensitivity引用本文复制引用
徐虹伟,王炜宇,曹一家,杨智临,李勇..基于振荡能量法的构网型变流器振荡特性分析与参数优化[J].电力系统保护与控制,2025,53(19):101-113,13.基金项目
This work is supported by the National Natural Science Foundation of China(No.52307077). 国家自然科学基金项目资助(52307077) （No.52307077）
湖南省自然科学基金项目资助(2024JJ5015) （2024JJ5015）
国家自然科学基金企业创新发展联合基金项目资助(U23B20128) （U23B20128）
