A novel quantum-inspired binary gravitational search algorithm in obtaining optimal power quality monitor placement

Ahmad Asrul Ibrahim, Azah Mohamed, Hussain Shareef

Research output: Contribution to journalArticle

27 Citations (Scopus)

Abstract

This study presented a novel quantum-inspired binary gravitational search algorithm method for solving the optimal power quality monitor placement problem in power systems for voltage sag assessment. In this algorithm, the standard binary gravitational search algorithm is modified by applying the concept and principles of quantum behaviour as to improve the search capability with faster convergence rate. The optimization considers multi objective functions and handles observability constraint determined by the concept of the topological monitor reach area. The overall objective function consists of three functions which are based on the number of required monitor, monitor overlapping index and sag severity index. The proposed algorithm is applied on the radial 69-bus distribution system and the IEEE 118-bus transmission system. To show the effectiveness of the proposed algorithm, its performance is compared to the other optimization techniques, namely, binary gravitational search algorithm and binary particle swarm optimization and quantum inspired binary particle swarm optimization.

Original languageEnglish
Pages (from-to)822-830
Number of pages9
JournalJournal of Applied Sciences
Volume12
Issue number9
DOIs
Publication statusPublished - 2012

Fingerprint

Power quality
Particle swarm optimization (PSO)
Observability
Electric potential

Keywords

  • Binary gravitational search algorithm
  • Multi objective functions
  • Quantum computing
  • Topological monitor reach area
  • Voltage sag assessment

ASJC Scopus subject areas

  • General

Cite this

A novel quantum-inspired binary gravitational search algorithm in obtaining optimal power quality monitor placement. / Ibrahim, Ahmad Asrul; Mohamed, Azah; Shareef, Hussain.

In: Journal of Applied Sciences, Vol. 12, No. 9, 2012, p. 822-830.

Research output: Contribution to journalArticle

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