Classi cations of disturbances using wavelet transform and support vectormachine

RANJBAR, Hossein; KAZARI, Hesam; HAJIBANDEH, Neda; FAGHIHI, Faramarz

Classi cations of disturbances using wavelet transform and support vectormachine

Neda HAJIBANDEH, (Young Researchers and Elite Club, Science and Research Branch of Islamic Azad University, Tehran, Iran)

Faramarz FAGHIHI, (Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran)

Hossein RANJBAR, (Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran)

Hesam KAZARI (Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran)

Turkish Journal of Electrical Engineering and Computer Sciences

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Yıl: 2017 Cilt: 25 Sayı: 2 Sayfa Aralığı: 832 - 843 Metin Dili: İngilizce İndeks Tarihi: 29-07-2022

Classi cations of disturbances using wavelet transform and support vectormachine

Öz:

This paper proposes a new method to detect and classify all kinds of faults, capacitor switching, and loadswitching in a power system network based on wavelet transform and support vector machines (SVMs). In this regard,a sample of a power system is simulated via MATLAB/Simulink, and by reading the voltage of the point of commoncoupling and using the wavelet transform, the differences of the outputs of the wavelet transform are investigated. TheSVM approach is employed to distinguish the type of the transient (capacitor switching, fault, and/or load switching)in use for the high level outputs of the wavelet transform. Similar to neural networks, this method, which is basedon learning, is considered as a proper tool for data classi cation. The results of simulations demonstrate that thecombination of wavelet transform and SVM recognizes the type of the transient correctly and effectively as well asdistinguishes capacitor switching and load switching events from all kinds of faults such as three-phase-to-earth fault,phase-to-phase fault, two-phase-to-earth fault, and single-phase-to-earth fault. In the end, the accuracy of the presentedapproach is evaluated and the simulation results are proposed for different attributes of transients in the power systemnetwork.

Anahtar Kelime:

Konular: Mühendislik, Elektrik ve Elektronik

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

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APA	HAJIBANDEH N, FAGHIHI F, RANJBAR H, KAZARI H (2017). Classi cations of disturbances using wavelet transform and support vectormachine. , 832 - 843.
Chicago	HAJIBANDEH Neda,FAGHIHI Faramarz,RANJBAR Hossein,KAZARI Hesam Classi cations of disturbances using wavelet transform and support vectormachine. (2017): 832 - 843.
MLA	HAJIBANDEH Neda,FAGHIHI Faramarz,RANJBAR Hossein,KAZARI Hesam Classi cations of disturbances using wavelet transform and support vectormachine. , 2017, ss.832 - 843.
AMA	HAJIBANDEH N,FAGHIHI F,RANJBAR H,KAZARI H Classi cations of disturbances using wavelet transform and support vectormachine. . 2017; 832 - 843.
Vancouver	HAJIBANDEH N,FAGHIHI F,RANJBAR H,KAZARI H Classi cations of disturbances using wavelet transform and support vectormachine. . 2017; 832 - 843.
IEEE	HAJIBANDEH N,FAGHIHI F,RANJBAR H,KAZARI H "Classi cations of disturbances using wavelet transform and support vectormachine." , ss.832 - 843, 2017.
ISNAD	HAJIBANDEH, Neda vd. "Classi cations of disturbances using wavelet transform and support vectormachine". (2017), 832-843.

APA	HAJIBANDEH N, FAGHIHI F, RANJBAR H, KAZARI H (2017). Classi cations of disturbances using wavelet transform and support vectormachine. Turkish Journal of Electrical Engineering and Computer Sciences, 25(2), 832 - 843.
Chicago	HAJIBANDEH Neda,FAGHIHI Faramarz,RANJBAR Hossein,KAZARI Hesam Classi cations of disturbances using wavelet transform and support vectormachine. Turkish Journal of Electrical Engineering and Computer Sciences 25, no.2 (2017): 832 - 843.
MLA	HAJIBANDEH Neda,FAGHIHI Faramarz,RANJBAR Hossein,KAZARI Hesam Classi cations of disturbances using wavelet transform and support vectormachine. Turkish Journal of Electrical Engineering and Computer Sciences, vol.25, no.2, 2017, ss.832 - 843.
AMA	HAJIBANDEH N,FAGHIHI F,RANJBAR H,KAZARI H Classi cations of disturbances using wavelet transform and support vectormachine. Turkish Journal of Electrical Engineering and Computer Sciences. 2017; 25(2): 832 - 843.
Vancouver	HAJIBANDEH N,FAGHIHI F,RANJBAR H,KAZARI H Classi cations of disturbances using wavelet transform and support vectormachine. Turkish Journal of Electrical Engineering and Computer Sciences. 2017; 25(2): 832 - 843.
IEEE	HAJIBANDEH N,FAGHIHI F,RANJBAR H,KAZARI H "Classi cations of disturbances using wavelet transform and support vectormachine." Turkish Journal of Electrical Engineering and Computer Sciences, 25, ss.832 - 843, 2017.
ISNAD	HAJIBANDEH, Neda vd. "Classi cations of disturbances using wavelet transform and support vectormachine". Turkish Journal of Electrical Engineering and Computer Sciences 25/2 (2017), 832-843.