DocumentCode :
2045191
Title :
Comparison of wavelet and fourier analysis in harmonics in electric propulsive shipping system
Author :
Zhang, Jingnan ; Zhang, Lingzi ; Li, Jin ; Bai, Linlin
Author_Institution :
Department of Electrical Engineering, Harbin Engineering University, Heilongjiang Province 150001, China
fYear :
2015
fDate :
2-5 Aug. 2015
Firstpage :
1573
Lastpage :
1577
Abstract :
To guarantee high power quality the monitoring of the power grid is essential part of the process. The secure supervision of harmonics methods for the analyze of power quality disturbances in electric propulsive shipping system have to be considered. Harmonic analysis in electric propulsive shipping system is the Fourier Transform in norm. This kind of transform is basically used for stationary signals. During the last years the wavelet analysis has been found some acceptation in the electric propulsive shipping system. This kind of transform is especially used for transient signals. The application and direction of Fourier and wavelet is unclear in electric propulsion ship system .The aim of this paper is the comparison of different Fourier and wavelet algorithm. Especially be applied in electric propulsion ship power grid on the analysis of power quality disturbance. Temporarily short circuit method is used to simulate the power quality disturbance. The advantages of the different algorithms shall be discussed. Through effective simulation to provide the solution about harmonic analysis algorithm for ship power system in the steady state and transient.
Keywords :
Harmonic analysis; Multiresolution analysis; Power quality; Power system harmonics; Time-frequency analysis; Wavelet transforms; Disturbances; Fourier-Transform; Methods; Propulsive shipping system; Wavelet-Transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
Conference_Location :
Beijing, China
Print_ISBN :
978-1-4799-7097-1
Type :
conf
DOI :
10.1109/ICMA.2015.7237719
Filename :
7237719
Link To Document :
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