DocumentCode :
2612758
Title :
Harmonic frequency estimation of power systems
Author :
Wu, J.K. ; He, B.T. ; Hu, Y. ; Luo, D.S. ; Liang, Y.
Author_Institution :
Dept. of Electr. Eng., Guangxi Univ., Nanning, China
fYear :
2004
fDate :
10-13 Oct. 2004
Firstpage :
1207
Abstract :
This paper presents a hybrid technique for harmonic frequency estimation of nonsinusoidal signals of power systems with high order harmonics using central numerical differentiation and digital FIR filter algorithm. A digital low-pass FIR filter is used to obtain the discrete values of the fundamental sinusoidal component, and a set of digital band-pass FIR filter is applied to compute the discrete values of the harmonic component. Using 6 points numerical differentiation, these discrete values are used for fundamental and harmonic frequency estimation. For a signal with 20 harmonics, the technique requires at most 2 cycles (40 ms) for the first time of estimation computation, and requires at most 1 cycle for the latter estimation. Comparing with other existing techniques, the proposed algorithm is characteristic of high accuracy and much less time. With satisfactory results, a study example is given to illustrate the proposed algorithm in Matlab.
Keywords :
FIR filters; band-pass filters; differentiation; frequency estimation; low-pass filters; mathematics computing; power harmonic filters; power system analysis computing; power system harmonics; power system parameter estimation; Matlab; digital band-pass FIR filter; frequency estimation; fundamental sinusoidal component; harmonic components; high order harmonics; hybrid technique; low-pass FIR filter; nonsinusoidal signals; numerical differentiation; power systems harmonics; signal decomposition; Delay; Digital filters; Finite impulse response filter; Frequency estimation; Frequency measurement; Harmonic analysis; Hybrid power systems; Power harmonic filters; Power measurement; Power system harmonics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Systems Conference and Exposition, 2004. IEEE PES
Print_ISBN :
0-7803-8718-X
Type :
conf
DOI :
10.1109/PSCE.2004.1397487
Filename :
1397487
Link To Document :
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