Title :
Power system harmonic signal estimation and retrieval for active power filter applications
Author :
Chicharo, Joe F. ; Wang, Haihong
Author_Institution :
Dept. of Electr. & Comput. Eng., Wollongong Univ., NSW, Australia
fDate :
11/1/1994 12:00:00 AM
Abstract :
This paper presents a new adaptive infinite impulse response (IIR) line enhancer (LE) comb filter configuration for the purpose of power system harmonic signal estimation and retrieval. The approximate maximum likelihood (AML) algorithm is employed for the parameter update. The proposed solution is characterised by modest computational burden, effective tracking capabilities and provides the retrieved harmonic components with little or no distortion. The retrieved power system harmonics may be obtained on an individual basis or as a composite signal. Practical test results are included which show the performance achieved by the proposed technique
Keywords :
IIR filters; active filters; maximum likelihood estimation; parameter estimation; power filters; power system harmonics; active power filter; approximate maximum likelihood algorithm; infinite impulse response line enhancer comb filter; power system harmonic signal estimation; signal retrieval; Active filters; Estimation; Frequency; IIR filters; Line enhancers; Noise cancellation; Power harmonic filters; Power system harmonics; Power system measurements; Power system modeling;
Journal_Title :
Power Electronics, IEEE Transactions on