High Impedance Fault Detection on Power Distribution Feeder

Sulaiman , Marizan and Tawafan, Adnan and Ibrahim, Zulkifilie (2012) High Impedance Fault Detection on Power Distribution Feeder. International Review on Modelling & Simulations, 5 (5 Part). pp. 2197-2204. ISSN 1974-9821


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This paper presents an intelligent algorithm using a Takagi Sugeno-Kang (TSK) fuzzy modeling approach based on subtractive clustering to detect high impedance fault. High impedance fault (HIF) is abnormal event on electric power distribution feeder which does not draw enough fault current to be detected by conventional protective devices. The algorithm for HIF detection based on the amplitude ratio of second and (3rd, 5th, 7th, 9th, 11th) harmonics to fundamental is presented. Fast Fourier Transformation (FFT) is used to extract the feature of the fault signal and other power system events. The effect of capacitor banks switching, non-linear load current, no-load line switching and other normal event on distribution feeder harmonics is discussed. HIF and other operation event data were obtained by simulation of a 13.8 kV distribution feeder using PSCAD. The results show that the proposed algorithm can distinguish successfully HIFs from other events in distribution power system.

Item Type: Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Electrical Engineering > Department of Industrial Power
Date Deposited: 05 Aug 2013 01:11
Last Modified: 28 May 2015 04:01
URI: http://eprints.utem.edu.my/id/eprint/9098
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