ANFIS approach for locating precise fault points with coordinated geometries in a test distribution system

Rasli A. Ghani, Azah Mohamed, Hussain Shareef

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

To maintain high reliability and quality in electrical power delivery, it is essential for utilities to accurately locate fault points and identify the type of fault so as to achieve a low customer average interruption duration index. Unless fault locations are known accurately, power cannot be promptly restored. This paper presents an intelligent technique for locating fault points in term of their geometrical coordinates in a power distribution system. The proposed technique implements parallel-series adaptive neuro-fuzzy inference systems for the purpose of locating fault points and identifying the fault type. The inputs of the proposed system design are the post-fault three-phase root-mean-square currents, and the output provides information about the fault points and types of faults. The technique produces satisfactory results with an average maximum percentage error of 1.3% and 2.8% respectively for fault X, Y coordinates prediction and 0.02% for fault type identification. The proposed technique is validated through simulations using the commercial software package PSS-ADEPT. The results show that parallel-series ANFIS approach is a fast and effective technique to determine precise fault location in a distribution system.

Original languageEnglish
Pages (from-to)461-473
Number of pages13
JournalEuropean Journal of Scientific Research
Volume35
Issue number3
Publication statusPublished - 2009

Fingerprint

Adaptive Neuro-fuzzy Inference System
Electric fault location
Distribution System
Test System
distribution system
Fault
Software
geometry
Geometry
Fuzzy inference
Software packages
Systems analysis
testing
methodology
electric power
test
duration
prediction
Power Distribution
Series

Keywords

  • Adaptive neuro-fuzzy inference system
  • Coordinate geometry
  • Distribution system
  • Fault points

ASJC Scopus subject areas

  • General

Cite this

ANFIS approach for locating precise fault points with coordinated geometries in a test distribution system. / Ghani, Rasli A.; Mohamed, Azah; Shareef, Hussain.

In: European Journal of Scientific Research, Vol. 35, No. 3, 2009, p. 461-473.

Research output: Contribution to journalArticle

@article{952a79323d07490f9c707a6601f6da45,
title = "ANFIS approach for locating precise fault points with coordinated geometries in a test distribution system",
abstract = "To maintain high reliability and quality in electrical power delivery, it is essential for utilities to accurately locate fault points and identify the type of fault so as to achieve a low customer average interruption duration index. Unless fault locations are known accurately, power cannot be promptly restored. This paper presents an intelligent technique for locating fault points in term of their geometrical coordinates in a power distribution system. The proposed technique implements parallel-series adaptive neuro-fuzzy inference systems for the purpose of locating fault points and identifying the fault type. The inputs of the proposed system design are the post-fault three-phase root-mean-square currents, and the output provides information about the fault points and types of faults. The technique produces satisfactory results with an average maximum percentage error of 1.3{\%} and 2.8{\%} respectively for fault X, Y coordinates prediction and 0.02{\%} for fault type identification. The proposed technique is validated through simulations using the commercial software package PSS-ADEPT. The results show that parallel-series ANFIS approach is a fast and effective technique to determine precise fault location in a distribution system.",
keywords = "Adaptive neuro-fuzzy inference system, Coordinate geometry, Distribution system, Fault points",
author = "Ghani, {Rasli A.} and Azah Mohamed and Hussain Shareef",
year = "2009",
language = "English",
volume = "35",
pages = "461--473",
journal = "European Journal of Scientific Research",
issn = "1450-202X",
publisher = "European Journals Inc.",
number = "3",

}

TY - JOUR

T1 - ANFIS approach for locating precise fault points with coordinated geometries in a test distribution system

AU - Ghani, Rasli A.

AU - Mohamed, Azah

AU - Shareef, Hussain

PY - 2009

Y1 - 2009

N2 - To maintain high reliability and quality in electrical power delivery, it is essential for utilities to accurately locate fault points and identify the type of fault so as to achieve a low customer average interruption duration index. Unless fault locations are known accurately, power cannot be promptly restored. This paper presents an intelligent technique for locating fault points in term of their geometrical coordinates in a power distribution system. The proposed technique implements parallel-series adaptive neuro-fuzzy inference systems for the purpose of locating fault points and identifying the fault type. The inputs of the proposed system design are the post-fault three-phase root-mean-square currents, and the output provides information about the fault points and types of faults. The technique produces satisfactory results with an average maximum percentage error of 1.3% and 2.8% respectively for fault X, Y coordinates prediction and 0.02% for fault type identification. The proposed technique is validated through simulations using the commercial software package PSS-ADEPT. The results show that parallel-series ANFIS approach is a fast and effective technique to determine precise fault location in a distribution system.

AB - To maintain high reliability and quality in electrical power delivery, it is essential for utilities to accurately locate fault points and identify the type of fault so as to achieve a low customer average interruption duration index. Unless fault locations are known accurately, power cannot be promptly restored. This paper presents an intelligent technique for locating fault points in term of their geometrical coordinates in a power distribution system. The proposed technique implements parallel-series adaptive neuro-fuzzy inference systems for the purpose of locating fault points and identifying the fault type. The inputs of the proposed system design are the post-fault three-phase root-mean-square currents, and the output provides information about the fault points and types of faults. The technique produces satisfactory results with an average maximum percentage error of 1.3% and 2.8% respectively for fault X, Y coordinates prediction and 0.02% for fault type identification. The proposed technique is validated through simulations using the commercial software package PSS-ADEPT. The results show that parallel-series ANFIS approach is a fast and effective technique to determine precise fault location in a distribution system.

KW - Adaptive neuro-fuzzy inference system

KW - Coordinate geometry

KW - Distribution system

KW - Fault points

UR - http://www.scopus.com/inward/record.url?scp=70349280384&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=70349280384&partnerID=8YFLogxK

M3 - Article

VL - 35

SP - 461

EP - 473

JO - European Journal of Scientific Research

JF - European Journal of Scientific Research

SN - 1450-202X

IS - 3

ER -