电力系统及其自动化学报2012，Vol.24Issue(4)：93-98,6.
基于小波-卡尔曼滤波的基波分量提取
Wavelet-based Kalman Filter for Fundamental Component
孙旭霞 1郭永胜1
作者信息
- 1. 西安理工大学自动化与信息工程学院,西安710048
- 折叠
摘要
Abstract
In order to satisfy accurate action of relay protection, Kalman filter has been researched by domestic and foreign scholars in recent years. For that Kalman filter has response delay for fault, a novel method that wavelet transform and Kalman filter were mixed to extract the fundamental signal was proposed. The fault could be detected by using sym4 wavelet to transform and code the estimate value of fundamental signal. At the moment, the gain coefficient and the error covariance matrix would change so that the response time of Kalman filter is reduced. The simulation results demonstrate that the approach could exactly extract the fundamental signal of fault signal and detect the time of fault occurring. The approach can also exactly estimate the fundamental signal and was robust enough to system frequency variation within a certain range.关键词
卡尔曼滤波/基波幅值/sym4小波/模极大值Key words
Kalman filter/ fundamental magnitude/ sym4 wavelet/ modulus maximum分类
信息技术与安全科学引用本文复制引用
孙旭霞,郭永胜..基于小波-卡尔曼滤波的基波分量提取[J].电力系统及其自动化学报,2012,24(4):93-98,6.
