电力系统自动化2025，Vol.49Issue(9)：135-145,11.DOI:10.7500/AEPS20240629001
基于多元同步压缩广义S变换的电力系统次同步振荡源定位
Location of Subsynchronous Oscillation Source in Power Systems Using Multivariate Synchrosqueezing Generalized S-Transform
摘要
Abstract
Fast and accurate location of subsynchronous oscillation source is of great significance to the secure and stable operation of power system.The existing location methods for subsynchronous oscillation source are difficult to be applied to multi-mode time-varying subsynchronous oscillation scenarios,and the computational efficiency needs to be improved.Therefore,a location method for subsynchronous oscillation source in power systems using multivariate synchrosqueezing generalized S-transform(MSSGST)is proposed.First,the energy ratio coefficient is calculated in the adaptive sliding time window to detect the subsynchronous oscillation phenomenon in real time.For the detected subsynchronous oscillation phenomenon,the joint measurement information matrix is constructed with nodes as the unit,and the joint time-frequency matrix is obtained by synchronous decomposition of the joint measurement information matrix using MSSGST.Then,the MSSGST coefficient matrix,which can characterize the subsynchronous oscillation mode of the system,is screened and reassembled by ridge extraction technique.On this basis,the time-frequency domain transient energy flow calculation model based on MSSGST is derived,and the location index of oscillation source is constructed according to the energy characteristics in time-frequency domain during subsynchronous oscillation.Finally,the accuracy and effectiveness of the proposed method are verified by simulation data and measured data of subsynchronous oscillation of the actual power grid.关键词
次同步振荡/振荡源定位/多元同步压缩广义S变换/暂态能量流Key words
subsynchronous oscillation/oscillation source location/multivariate synchrosqueezing generalized S-transform/transient energy flow引用本文复制引用
姜涛,张鹏,李雪,刘博涵,李国庆..基于多元同步压缩广义S变换的电力系统次同步振荡源定位[J].电力系统自动化,2025,49(9):135-145,11.基金项目
国家自然科学基金联合基金资助项目(U23B20131) （U23B20131）
国家自然科学基金资助项目(52377083). This work is supported by National Natural Science Foundation of China(No.U23B20131,No.52377083). （52377083）
