Voltage & Current Magnitude Pattern Recognization by Using Fuzzy Logic Toolbox for Fault Types Classification

This research introduces the appropriate input pattern of Fuzzy Logic design for fault type classification of Single Line to Ground Fault at distribution network. The proposed design is solely using Fuzzy Logic as the research technique with input data from PSCAD simulation. PSCAD software simulate...

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Main Authors: Awalin, Lilik J. (Author), Fatini, Fatini (Author), Abdullah, M. N. (Author), Tay, L.T (Author), Ab. Hamid, M. Fairuz (Author), Ismail, Bazilah (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2018-10-01.
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042 |a dc 
100 1 0 |a Awalin, Lilik J.  |e author 
100 1 0 |e contributor 
700 1 0 |a Fatini, Fatini  |e author 
700 1 0 |a Abdullah, M. N.  |e author 
700 1 0 |a Tay, L.T.  |e author 
700 1 0 |a Ab. Hamid, M. Fairuz  |e author 
700 1 0 |a Ismail, Bazilah  |e author 
245 0 0 |a Voltage & Current Magnitude Pattern Recognization by Using Fuzzy Logic Toolbox for Fault Types Classification 
260 |b Institute of Advanced Engineering and Science,   |c 2018-10-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/14486 
520 |a This research introduces the appropriate input pattern of Fuzzy Logic design for fault type classification of Single Line to Ground Fault at distribution network. The proposed design is solely using Fuzzy Logic as the research technique with input data from PSCAD simulation. PSCAD software simulate the circuit configuration for fault disturbance at the distribution network. The research technique was applied with multiples input values of voltage and current that extracted from the PSCAD simulation. This research testifies the output result by using different fault resistance values; 0.01Ω, 10Ω, 30Ω, 50Ω and 70Ω. Voltage sag and current swell of phase a, b and c that were obtained from the PSCAD simulation have been used as the input variables for Fuzzy Logic design. The acquired results that represented in average accuracy shown that voltage sag and current swell can draw a satisfying accuracy in classifying the fault type. 
540 |a Copyright (c) 2018 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690
690 |a fuzzy logic, fault type classification, Single Line to Ground Fault, fault resistance, distribution network 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 12, No 1: October 2018; 326-332 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v12.i1 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/14486/9484 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/14486/9484  |z Get fulltext