Application of wolf group hierarchy optimization algorithm to fault section estimation in power systems

Shyh Jier Huang, Xian Zong Liu, Wei Fu Su, Shih Chieh Tsai, Chao Ming Liao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper proposes a wolf group hierarchy optimization (WGHO) algorithm to solve the fault section estimation problem in power systems. The method mimics the substitution behavior observed in the wolf society, in which only the wolf owing the strongest environment adaptability is qualified to lead the group of wolves. By applying this bionic intelligence in the problem considered, it provides a systematic way of finding the solution. Through the field test data, this method has been compared with published techniques.

Original languageEnglish
Title of host publication2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1163-1166
Number of pages4
ISBN (Print)9781479934324
DOIs
Publication statusPublished - 2014 Jan 1
Event2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014 - Melbourne, VIC, Australia
Duration: 2014 Jun 12014 Jun 5

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Other

Other2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014
CountryAustralia
CityMelbourne, VIC
Period14-06-0114-06-05

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Application of wolf group hierarchy optimization algorithm to fault section estimation in power systems'. Together they form a unique fingerprint.

Cite this