Classification and identification of power system disturbances using wavalet and artificial neural network technique / Noraliza Hamzah, W. Norainin W. Abdullah and Pauziah Mohd Arsad

Hamzah, Noraliza and W. Abdullah, W. Norainin and Mohd Arsad, Pauziah (2005) Classification and identification of power system disturbances using wavalet and artificial neural network technique / Noraliza Hamzah, W. Norainin W. Abdullah and Pauziah Mohd Arsad. Scientific Research Journal, 2 (2). pp. 25-34. ISSN 1675-7009

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Abstract

Power Quality disturbances problems have gained widespread interest worldwide due to the proliferation of power electronic load such as adjustable speed drives, computer, industrial drives, communication and medical equipments. This paper presents a technique based on wavelet and probabilistic neural network to detect and classify power quality disturbances, which are harmonic, voltage sag, swell and oscillatory transient. The power quality disturbances are obtained from the waveform data collected from premises, which include the UiTM Sarawak, Faculty of Science Computer in Shah Alam, Jati College, Menara UiTM, PP Seksyen 18 and Putra LRT. Reliable Power Meter is used for data monitoring and the data is further processed using the Microsoft Excel software. From the processed data, power quality disturbances are detected using the wavelet technique. After the disturbances being detected, it is then classified using the Probabilistic Neural Network. Sixty data has been chosen for the training of the Probabilistic Neural Network and ten data has been used for the testing of the neural network. The results are further interfaced using matlab script code. Results from the research have been very promising which proved that the wavelet technique and Probabilistic Neural Network is capable to be used for power quality disturbances detection and classification.

Item Type: Article
Uncontrolled Keywords: Power Quality Disturbances, wavelet, artificial neural network
Subjects: Q Science > QA Mathematics > Wavelets (Mathematics)
Q Science > QA Mathematics > Instruments and machines > Electronic computers.Computer science > Neural networks (Computer science) > Malaysia
Q Science > QA Mathematics > Instruments and machines > Electronic computers.Computer science > Neural networks (Computer science) > Malaysia
Divisions: Institute of Research, Development and Commercialization (IRDC)
Depositing User: Staf Pendigitan 1
Date Deposited: 30 Oct 2015 01:59
Last Modified: 26 May 2016 06:52
URI: http://ir.uitm.edu.my/id/eprint/12803

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