A novel power quality monitor placement method using adaptive quantum-inspired binary particle swarm optimization

A. A. Ibrahim, A. Mohamed, H. Shareef

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

This paper presents a novel method for solving optimal power quality monitor placement problem in monitoring voltage sags in power systems using the adaptive quantum-inspired particle swarm optimization (PSO). 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 two functions which are based on monitor overlapping index and sag severity index. In this algorithm, the standard quantum-inspired binary PSO is modified by applying the concept of artificial immune system as an adaptive element to make it more flexible towards better quality of solution and computational speed. The proposed algorithm is applied on the IEEE 30-bus transmission system and the IEEE 34-node distribution system and compared to the conventional PSO.

Original languageEnglish
Article number212
Pages (from-to)50-56
Number of pages7
JournalRenewable Energy and Power Quality Journal
Volume1
Issue number10
DOIs
Publication statusPublished - Apr 2012

Fingerprint

Power quality
Particle swarm optimization (PSO)
Immune system
Observability
Monitoring
Electric potential

Keywords

  • Adaptive quantum-inspired PSO
  • Artificial immune system
  • Topological monitor reach area
  • Voltage sag

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

A novel power quality monitor placement method using adaptive quantum-inspired binary particle swarm optimization. / Ibrahim, A. A.; Mohamed, A.; Shareef, H.

In: Renewable Energy and Power Quality Journal, Vol. 1, No. 10, 212, 04.2012, p. 50-56.

Research output: Contribution to journalArticle

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