A Novel Power Quality Monitor Placement Method Using Adaptive QuantumInspired Binary Particle Swarm Optimization

Authors

  • A. A. Ibrahim Department of Electrical, Electronic and Systems Engineering University Kebangsaan Malaysia Author
  • A. Mohamed Department of Electrical, Electronic and Systems Engineering University Kebangsaan Malaysia Author
  • H. Shareef Department of Electrical, Electronic and Systems Engineering University Kebangsaan Malaysia Author

DOI:

https://doi.org/10.24084/repqj10.212

Keywords:

Adaptive quantum-inspired PSO, voltage sag, topological monitor reach area, artificial immune system

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.

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Published

2024-01-15

Issue

Vol. 10 No. 1 (2012)

Section

Articles