船电技术2024，Vol.44Issue(4)：1-5,5.
基于SVD的复数UKF及电力系统对称分量估计
SVD based adaptive complex UKF algorithm and its application to estimate symmetrical components of power system
摘要
Abstract
To ensure power system works safely and steadily,the detection of symmetrical components of power system is significant.In this paper,the complex unscented Kalman filter(CUKF)algorithm was used to estimate the positive and negative sequence components and frequency of a three-phase voltage system were estimated by this algorithm.To improve the estimation accuracy and algorithm stability,an optimal adaptive factor is adopted,the prediction covariance matrix is decomposed based on singular value decomposition(SVD)method,and an adaptive complex UKF algorithm based on SVD(ASCUKF)is proposed.To eliminate zero sequence of symmetrical component,αβ transformation is used to transform three-phase voltages into the αβ reference frames,complex state variables are defined,the nonlinear state space and observation equations are built,and positive sequence and negative sequence of symmetrical components are estimated.Compared with the estimates with conventional CUKF,the algorithm proposed in the paper have great advantages in estimation accuracy and convergence speed.关键词
复数无迹卡尔曼滤波/对称分量估计/最优自适应因子/奇异值分解Key words
complex unscented Kalman filter/symmetrical components/estimation/optimal adaptive factor/singular value decomposition分类
信息技术与安全科学引用本文复制引用
崔博文,陶成蹊..基于SVD的复数UKF及电力系统对称分量估计[J].船电技术,2024,44(4):1-5,5.基金项目
国家自然科学基金(51779102)福建省自然科学基金(2022J01811) （51779102）
