Comparison of fast fourier and wavelet transforms with new improved walsh transform for power components estimation
The paper present comparative study of two major algorithms use in measurement of power components in both sinusoidal and non-sinusoidal load conditions i.e. fast Fourier and Wavelet transforms with new improved Walsh function algorithm. The growing use of nonlinear loads in distribution networks le...
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my.utm.373542017-09-19T03:54:38Z http://eprints.utm.my/id/eprint/37354/ Comparison of fast fourier and wavelet transforms with new improved walsh transform for power components estimation Aliyu, Garba Abd. Khalid, Saifulnizam Mustafa, Mohd. Wazir Usman, Jafaru Shareef, Hussain TK Electrical engineering. Electronics Nuclear engineering The paper present comparative study of two major algorithms use in measurement of power components in both sinusoidal and non-sinusoidal load conditions i.e. fast Fourier and Wavelet transforms with new improved Walsh function algorithm. The growing use of nonlinear loads in distribution networks lead to disruption of power supply system resulting in distortion of voltage and current waveforms. Measurement using fast Fourier transform (FFT) which is adopted in IEEE standard 1459-2000 is no longer realistic in non-sinusoidal load condition due to its sensitivity to spectral leakage and picket fence phenomenon. Wavelet transform have huge computational demand and also experience spectral leakage effect. The new improved Walsh function takes advantage of simple procedure to develop algorithm to estimate power components. The algorithms are simulated on a model developed on Matlab Simulink. The results were compared with FFT approach and Wavelet packet transform technique and it showed that the algorithm has potential to effectively estimate active, reactive and distortion powers of network under distorted load condition better than FFT. The algorithm is computationally less cumbersome when compared with Wavelet transform. Keywords-sinusoidal and non-sinusoidal waveforms; Walsh function; fast Fourier transform; wavelet transform. 2013 Conference or Workshop Item PeerReviewed Aliyu, Garba and Abd. Khalid, Saifulnizam and Mustafa, Mohd. Wazir and Usman, Jafaru and Shareef, Hussain (2013) Comparison of fast fourier and wavelet transforms with new improved walsh transform for power components estimation. In: 2013 IEEE Symposium on Huminities, Science and Engineering Research (SHUSER). |
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TK Electrical engineering. Electronics Nuclear engineering Aliyu, Garba Abd. Khalid, Saifulnizam Mustafa, Mohd. Wazir Usman, Jafaru Shareef, Hussain Comparison of fast fourier and wavelet transforms with new improved walsh transform for power components estimation |
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The paper present comparative study of two major algorithms use in measurement of power components in both sinusoidal and non-sinusoidal load conditions i.e. fast Fourier and Wavelet transforms with new improved Walsh function algorithm. The growing use of nonlinear loads in distribution networks lead to disruption of power supply system resulting in distortion of voltage and current waveforms. Measurement using fast Fourier transform (FFT) which is adopted in IEEE standard 1459-2000 is no longer realistic in non-sinusoidal load condition due to its sensitivity to spectral leakage and picket fence phenomenon. Wavelet transform have huge computational demand and also experience spectral leakage effect. The new improved Walsh function takes advantage of simple procedure to develop algorithm to estimate power components. The algorithms are simulated on a model developed on Matlab Simulink. The results were compared with FFT approach and Wavelet packet transform technique and it showed that the algorithm has potential to effectively estimate active, reactive and distortion powers of network under distorted load condition better than FFT. The algorithm is computationally less cumbersome when compared with Wavelet transform. Keywords-sinusoidal and non-sinusoidal waveforms; Walsh function; fast Fourier transform; wavelet transform. |
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Conference or Workshop Item |
author |
Aliyu, Garba Abd. Khalid, Saifulnizam Mustafa, Mohd. Wazir Usman, Jafaru Shareef, Hussain |
author_facet |
Aliyu, Garba Abd. Khalid, Saifulnizam Mustafa, Mohd. Wazir Usman, Jafaru Shareef, Hussain |
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Aliyu, Garba |
title |
Comparison of fast fourier and wavelet transforms with new improved walsh transform for power components estimation |
title_short |
Comparison of fast fourier and wavelet transforms with new improved walsh transform for power components estimation |
title_full |
Comparison of fast fourier and wavelet transforms with new improved walsh transform for power components estimation |
title_fullStr |
Comparison of fast fourier and wavelet transforms with new improved walsh transform for power components estimation |
title_full_unstemmed |
Comparison of fast fourier and wavelet transforms with new improved walsh transform for power components estimation |
title_sort |
comparison of fast fourier and wavelet transforms with new improved walsh transform for power components estimation |
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2013 |
url |
http://eprints.utm.my/id/eprint/37354/ |
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1643650117181374464 |
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13.160551 |