Improved Subsynchronous Oscillation Parameter Identification with Synchrophasor Based on Matrix Pencil Method in Power Systems  

作　　者：Xiaoxue Zhang Fang Zhang Wenzhong Gao Jinghan He 

机构地区：[1]the School of Electrical Engineering,Beijing Jiaotong University,Beijing 100044,China [2]the Department of Electrical and Computer Engineering,University of Denver,Denver,USA

出　　处：《Journal of Modern Power Systems and Clean Energy》2024年第1期22-33,共12页现代电力系统与清洁能源学报（英文）

基　　金：supported by National Natural Science Foundation of China(No.52077004).

摘　　要：The subsynchronous oscillations(SSOs)related to renewable generation seriously affect the stability and safety of the power systems.To realize the dynamic monitoring of SSOs by utilizing the high computational efficiency and noise-resilient features of the matrix pencil method(MPM),this paper propos es an improved MPM-based parameter identification with syn chrophasors.The MPM is enhanced by the angular frequency fitting equations based on the characteristic polynomial coeffi cients of the matrix pencil to ensure the accuracy of the identi fied parameters,since the existing eigenvalue solution of the MPM ignores the angular frequency conjugation constraints of the two fundamental modes and two oscillation modes.Then,the identification and recovery of bad data are proposed by uti lizing the difference in temporal continuity of the synchropha sors before and after noise reduction.The proposed parameter identification is verified with synthetic,simulated,and actual measured phase measurement unit(PMU)data.Compared with the existing MPM,the improved MPM achieves better accuracy for parameter identification of each component in SSOs,better real-time performance,and significantly reduces the effect of bad data.

关 键 词：Subsynchronous oscillations(SSOs) SYNCHROPHASOR parameter identification matrix pencil method bad data 

分 类 号：TM711[电气工程—电力系统及自动化]