Application of enhanced honey-bee mating optimization algorithm to fault section estimation in power systems

Shyh-Jier Huang, Xian Zong Liu, Wei Fu Su, Ting Chia Ou

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

An application of plant growth simulation algorithm-enhanced honey-bee mating optimization is proposed to solve the fault section estimation problem in a power system. This approach is proposed because the local search capability of the honey-bee mating optimization is highly dependent on the parameter decisions. An inappropriate selection of parameters may affect the computation efficiency. This paper hence has added the plant growth simulation algorithm to enhance the honey-bee mating optimization so that the work of external parameter settings can be economized while the overall computation can be improved. In order to validate the effectiveness of this method, we have conducted the approach on practical power systems. Test results confirm the feasibility of this proposed method for the application considered.

Original languageEnglish
Article number6523191
Pages (from-to)1944-1951
Number of pages8
JournalIEEE Transactions on Power Delivery
Volume28
Issue number3
DOIs
Publication statusPublished - 2013 Jun 7

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Local search (optimization)

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

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Application of enhanced honey-bee mating optimization algorithm to fault section estimation in power systems. / Huang, Shyh-Jier; Liu, Xian Zong; Su, Wei Fu; Ou, Ting Chia.

In: IEEE Transactions on Power Delivery, Vol. 28, No. 3, 6523191, 07.06.2013, p. 1944-1951.

Research output: Contribution to journalArticle

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