DocumentCode
2516869
Title
A harmonic measurement mode based on partial least-squares regression method
Author
Yunyan, Zhang ; Wei, Cai ; Chun, Deng ; Yonghai, Xu ; Lin, Gao
Author_Institution
Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing
fYear
2008
fDate
6-7 Oct. 2008
Firstpage
1
Lastpage
5
Abstract
Due to the harmonic caused by the nonlinear load, the error of electric power measurement still exist in power system at present. To settle the problem, a new kind of measurement mode based on partial least-squares regression method is presented in this paper. The model of electric system and the model of harmonic meter have been completed by MATLAB. Utilizing the signals of harmonic voltage and harmonic current measured synchronously at PCC, regression coefficients are worked out through partial least-squares algorithm. After that, the supply harmonic impedance is gained, consequently the harmonic voltage source of system and the harmonic current source of the load can be calculated correctly. So the harmonic meter can measure the direction and amplitude exactly. The new model can distinguish harmonic power which comes from the linear load, nonlinear load and system. The irrational problem of measurement model has been solved. The simulation analysis and the analytic result of practical engineering road-testing data indicate that the proposed method is valid and feasible.
Keywords
electric current measurement; least squares approximations; power system harmonics; power system measurement; regression analysis; voltage measurement; MATLAB simulation analysis; PCC; electric power measurement error; electric system model; harmonic current measurement; harmonic meter model; harmonic voltage measurement; nonlinear load; partial least-squares regression method; power system harmonic measurement mode; regression coefficients; Current measurement; Electric variables measurement; Impedance; MATLAB; Mathematical model; Power measurement; Power system harmonics; Power system measurements; Power system modeling; Voltage; PLSR (partial least-squares regression); electric energy measurement; harmonic impedance;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Power Conference, 2008. EPEC 2008. IEEE Canada
Conference_Location
Vancouver, BC
Print_ISBN
978-1-4244-2894-6
Electronic_ISBN
978-1-4244-2895-3
Type
conf
DOI
10.1109/EPC.2008.4763384
Filename
4763384
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