中国电机工程学报2025，Vol.45Issue(10)：3788-3800,中插8,14.DOI:10.13334/j.0258-8013.pcsee.232416
基于自适应参数重置EKF的时变次同步振荡辨识方法
A Time-varying Sub-synchronous Oscillation Identification Method Based on Adaptive-reset EKF
摘要
Abstract
With the increasing proportion of renewable generations in the power system,the problem of sub-synchronous oscillation(SSO)has become prominent.Accurate identification of SSO signals is the premise of identifying sources and mitigating SSO,which is crucial to the stable operation of power systems.In many SSO events,the oscillation frequency and amplitude are time-varying,making it difficult for existing methods to accurately identify SSO parameters.In this paper,an SSO detection method based on adaptive-reset extended Kalman filter(EKF)is proposed.Firstly,a four-state SSO signal model is constructed to enable the EKF algorithm to detect signal amplitude,frequency and attenuation coefficient,and an algorithm for identifying multi-mode SSO signal is designed.Secondly,an adaptive-reset method of EKF parameters based on the innovation criterion is proposed,and the accurate identification of time-varying SSO signals could be realized by adaptively resetting the covariance matrix.Finally,the proposed algorithm is verified by simulation and hardware experiment.The results showed that method proposed in this paper can accurately identify time-varying SSO modal parameters,and the algorithm has strong real-time performance and has high practical value.关键词
次同步振荡/检测技术/拓展卡尔曼滤波/时变/多模态/自适应重置Key words
sub-synchronous oscillation(SSO)/detection technology/extended Kalman filter(EKF)/time-varying/multi-mode/adaptive-reset分类
动力与电气工程引用本文复制引用
吴熙,李青峰,陈曦,周金宇,李强,任必兴..基于自适应参数重置EKF的时变次同步振荡辨识方法[J].中国电机工程学报,2025,45(10):3788-3800,中插8,14.基金项目
国家电网有限公司科技项目(5108-202299269A-1-0-ZB).Science and Technology Project of State Grid Corporation of China(5108-202299269A-1-0-ZB). （5108-202299269A-1-0-ZB）
