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  5. Fault localization and detection in medium voltage distribution network using adaptive neuro-fuzzy inference system (anfis)
 
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Fault localization and detection in medium voltage distribution network using adaptive neuro-fuzzy inference system (anfis)

Journal
Lecture Notes in Electrical Engineering
ISSN
18761100
Date Issued
2021-01-01
Author(s)
Jamili N.S.B.
Mohd Rafi Adzman
Universiti Malaysia Perlis
Salman W.S.A.W.
Muhd Hafizi Idris
Universiti Malaysia Perlis
Melaty binti Amirruddin
Universiti Malaysia Perlis
DOI
10.1007/978-981-15-5281-6_74
Abstract
This paper provides an overview method of ANFIS to improve the performance of locating and detecting a single line to ground fault in medium voltage (MV) distribution power system network. For this research, the proposed method used faulted current signals from the network as an input in ANFIS to obtain the expected fault location and detection. In order to accurately locate the faults in the network, an ANFIS was trained and tested using various sets of data, which was obtained from the simulation of faults at various fault scenarios such as inception angle, load, fault location, and fault resistance. Based on the result obtain, the fault distance, major and minor branch of the single line to ground fault can be located with minimal error.
Subjects
  • ANFIS | Distribution ...

File(s)
Research repository notification.pdf (4.4 MB)
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