Voltage Variation Signals Source Identification And Diagnosis Method

Wei Hown, Tee and Yusoff, Mohd Rahimi and Yaakub, Muhamad Faizal and Abdullah, Abdul Rahim (2019) Voltage Variation Signals Source Identification And Diagnosis Method. International Journal Of Advanced Computer Science And Applications, 10 (4). pp. 170-180. ISSN 2158-107X

Text VOLTAGE_VARIATION_SIGNALS_SOURCE_IDENTIF.PDF Download (6MB)

Abstract

Power Quality (PQ) problem has become an important issue for generating bad impact to the users nowadays.It is important to detect and identify the source of the PQ problem. This paper presents a voltage variation signals source identification and diagnosis method by determining the average time frequency representation (TFR) phase power of the impedance. The signals focused in this study are the voltage variation signals, which include voltage sag, swell and interruption. The voltage variation signals from different source location (upstream, downstream as well as up and downstream) according to the IEEE Standard 1159 by using the mathematical models. The signals are first analyzed by using the Spectrograms which act as the feature producing tool. Then, the average power TFR of phase domain of each signal is calculated and tabulated. Finally, the performance of the method is identified by using support vector machine (SVM) and k-nearest neighbor (kNN).The results show that this method is an effective and suitable technique for identifying the source of voltage variation

Item Type:	Article
Uncontrolled Keywords:	Power quality, voltage variation, spectrogram, source identification, average time frequency representation phase, power
Divisions:	Faculty of Electrical Engineering
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	04 Aug 2020 16:37
Last Modified:	04 Aug 2020 16:37
URI:	http://eprints.utem.edu.my/id/eprint/24177
Statistic Details:	View Download Statistic

Actions (login required)

View Item