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
Link To Document :
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