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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control)
M. Hatta Jopri
Universiti Teknikal Malaysia Melaka
Computer Science & IT

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An Accurate Classification Method of Harmonic Signals in Power Distribution System by Utilising S-Transform M. Hatta Jopri; A. Rahim Abdullah; Mustafa Manap; M. Faiz Habban; Tole Sutikno
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 1: March 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i1.3119

Abstract

This paper presents an accurate classification method of harmonic signal in power distribution system by using S-transform (ST).  ST has a capability of representing signals in jointly time-frequency domain and known as time frequency representation (TFR). The spectral parameters are estimated from TFR in order to identify the characteristics and to classify the harmonic signals. The classification of harmonic signals with the utilization of pattern recognition approach which is rule-based classifier of 100 unique signals is according to the IEEE standard 519:2014. The accuracy of the proposed method is determined by using MAPE and the results proved that the method provides high accuracy of harmonic signal classification. Additionally, S-transform also gives 100 percent correct classification of harmonic signals. It is proven that the proposed method is accurate in detecting and classifying harmonic signals in the distribution system. 
A Fast Localization of Multiple Harmonic Sources for Rectifier Loads by Utilizing Periodogram M. Hatta Jopri; A. Rahim Abdullah; Mustafa Manap; M. Rahimi Yusoff; Tole Sutikno
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 1: March 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i1.3120

Abstract

This paper introduces a fast method to localize the multiple harmonic sources (MHS) for rectifier based loads in power distribution system by utilizing periodogram technique with a single-point measurement approach at the point of common coupling (PCC). The periodogram is a fast and accurate technique for analyzing and distinguishing MHS location in power system. Matlab simulation is carried out several unique cases on IEEE test feeder cases due to validate the proposed method. The identification of MHS location is based on the significant relationship of spectral impedance which are fundamental impedance (Z1) and harmonic impedance (Zh) that's extracted from an impedance power spectrum. It is verified that the proposed method is fast, accurate, and cost efficient in localizing MHS. In addition, this method also contributes 100% correct identification of MHS location.
Co-Authors A. Rahim Abdullah M. Faiz Habban M. Rahimi Yusoff Mustafa Manap Tole Sutikno