电工技术学报2017，Vol.32Issue(12)：234-240,7.
基于平方根容积卡尔曼滤波的发电机动态状态估计
Dynamic State Estimator for Synchronous-Machines Based on Square Root Cubature Kalman Filter
安军 1杨振瑞 1周毅博 1桂建忠 1石岩1
作者信息
- 1. 东北电力大学电气工程学院 吉林 132012
- 折叠
摘要
Abstract
Generator dynamic state estimation (DSE) provides important parameters in dynamic monitor and control system of power system. But there are some problems of low filtering accuracy even filter divergence caused by the asymmetric or non-positive covariance matrix in CKF recursive process. This paper put forward the equations of generation DSE based on square root cubature Kalman filter (SRCKF). Wherein, the square root filtering (SRF) is also combined with, to ensure the non-negative definite covariance matrix. Finally, the generation DSE based on SRCKF, CKF and UKF was realized in IEEE 14-node system and actual system respectively. The results prove SRCKF can solve the filtering divergence caused by non-positive definite covariance matrix in CKF. Moreover, the simulation shows that the efficiency, the filtering performance and the numerical stability of SRCKF are superior to the CKF and UKF methods.关键词
容积卡尔曼滤波/非负定/数值稳定性/平方根容积卡尔曼滤波Key words
Cubage Kalman filter/nonnegative-definite/numerical stability/square root cubature Kalman filter分类
信息技术与安全科学引用本文复制引用
安军,杨振瑞,周毅博,桂建忠,石岩..基于平方根容积卡尔曼滤波的发电机动态状态估计[J].电工技术学报,2017,32(12):234-240,7.
