An effective power quality monitor placement method utilizing quantum-inspired particle swarm optimization

Ahmad Asrul Ibrahim, Azah Mohamed, Hussain Shareef, Sakti Prasad Ghoshal

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

22 Citations (Scopus)

Abstract

This paper presents an effective power quality monitor (PQM) placement method for voltage sag assessment by utilizing quantum-inspired particle swarm optimization technique. The optimization handles the observability constraints based on the topological monitor reach area concept and solves a multi-objective function in obtaining the optimal number and placement of PQMs in power systems. The objective function consists of two functions which are based on monitor overlapping index and sag severity index. In this study, the optimization performance of the proposed technique is compared to that of the standard binary particle swarm optimization and the existing method using genetic algorithm. All the optimization algorithms have been implemented and tested on the IEEE 69-bus and the 118-bus test systems to evaluate the effectiveness of the techniques.

Original languageEnglish
Title of host publicationProceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011 - Bandung, Indonesia
Duration: Jul 17 2011Jul 19 2011

Publication series

NameProceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011

Conference

Conference2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011
Country/TerritoryIndonesia
CityBandung
Period7/17/117/19/11

Keywords

  • binary particle swarm optimization
  • genetic algorithm
  • multi-objective function
  • quantum-inspired particle swarm optimization
  • topological monitor reach area
  • voltage sag assessment

ASJC Scopus subject areas

  • Information Systems
  • Electrical and Electronic Engineering

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