Novel quantum-inspired firefly algorithm for optimal power quality monitor placement

Ling Ai Wong, Hussain Shareef, Azah Mohamed, Ahmad Asrul Ibrahim

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

The application of a quantum-inspired firefly algorithm was introduced to obtain optimal power quality monitor placement in a power system. The conventional binary firefly algorithm was modified by using quantum principles to attain a faster convergence rate that can improve system performance and to avoid premature convergence. In the optimization process, a multi-objective function was used with the system observability constraint, which is determined via the topological monitor reach area concept. The multi-objective function comprises three functions: number of required monitors, monitor overlapping index, and sag severity index. The effectiveness of the proposed method was verified by applying the algorithm to an IEEE 118-bus transmission system and by comparing the algorithm with others of its kind.

Original languageEnglish
Pages (from-to)254-260
Number of pages7
JournalFrontiers in Energy
Volume8
Issue number2
DOIs
Publication statusPublished - Jun 2014
Externally publishedYes

Keywords

  • power quality
  • quantum-inspired binary firefly algorithm
  • topological monitor reach area

ASJC Scopus subject areas

  • Energy Engineering and Power Technology

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