Original scientific paper
https://doi.org/10.7305/automatika.2016.10.861
A New Method for Fundamental Signal Extraction Based on Wavelet Transform
Javad Modarresi
; Electrical Engineering Department, Faculty of Engineering, University of Isfahan, Azadi Square, Khomeyni Shahr, Isfahan, Iran
Eskandar Gholipour
; Electrical Engineering Department, Faculty of Engineering, University of Isfahan, Azadi Square, Khomeyni Shahr, Isfahan, Iran
Abstract
In this paper, a new method is proposed for improving the fundamental extraction by wavelet transform. This method uses the discrete wavelet transform (DWT), FIR filter and inverse discrete wavelet transform (IDWT). In the proposed method, frequency interference is allowed to occur at the extracted frequency bands by DWT. DWT output signal is filtered by FIR then the IDWT is used to reconstruct the filtered signal. This process improves the quality of extracted fundamental component and transient response. To verify the validity of the proposed method, the electric distribution system of electric arc furnaces (EAFs) of Mobarakeh Steel Company is simulated in MATLAB software. Finally the fundamental component of the voltage of point of common coupling (PCC) is extracted by proposed method and DWT and IDWT method.
Keywords
fundamental component; wavelet transform; FIR filter; EAF
Hrčak ID:
179285
URI
Publication date:
25.1.2017.
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