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

15 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
Event2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011 - Bandung
Duration: 17 Jul 201119 Jul 2011

Other

Other2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011
CityBandung
Period17/7/1119/7/11

Fingerprint

Power quality
Particle swarm optimization (PSO)
Observability
Genetic algorithms
Electric potential

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

Cite this

Ibrahim, A. A., Mohamed, A., Shareef, H., & Ghoshal, S. P. (2011). An effective power quality monitor placement method utilizing quantum-inspired particle swarm optimization. In Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011 [6021845] https://doi.org/10.1109/ICEEI.2011.6021845

An effective power quality monitor placement method utilizing quantum-inspired particle swarm optimization. / Ibrahim, Ahmad Asrul; Mohamed, Azah; Shareef, Hussain; Ghoshal, Sakti Prasad.

Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011. 2011. 6021845.

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

Ibrahim, AA, Mohamed, A, Shareef, H & Ghoshal, SP 2011, An effective power quality monitor placement method utilizing quantum-inspired particle swarm optimization. in Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011., 6021845, 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011, Bandung, 17/7/11. https://doi.org/10.1109/ICEEI.2011.6021845
Ibrahim AA, Mohamed A, Shareef H, Ghoshal SP. An effective power quality monitor placement method utilizing quantum-inspired particle swarm optimization. In Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011. 2011. 6021845 https://doi.org/10.1109/ICEEI.2011.6021845
Ibrahim, Ahmad Asrul ; Mohamed, Azah ; Shareef, Hussain ; Ghoshal, Sakti Prasad. / An effective power quality monitor placement method utilizing quantum-inspired particle swarm optimization. Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011. 2011.
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