Title: Particle swarm optimisation and its applications in power converter systems

Authors: Naziha Ahmad Azli; Norkharziana Mohd Nayan; Shahrin Md Ayob

Addresses: Department of Electrical Power Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia ' School of Electrical System Engineering, c/o School of Microelectronics Engineering Complex, Universiti Malaysia Perlis, Pauh Putra Campus, 02000 Arau, Perlis, Malaysia ' Department of Electrical Power Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia

Abstract: Particle swarm optimisation (PSO) algorithm is known for its easy implementation and has been empirically shown to perform well in many optimisation problems. Thus, it is expected to mitigate the computational burden associated with the solutions of non-linear transcendental equations relevant to problems related to power converter systems. This paper starts with an overview of the general concept of PSO and its variants. It then continues with a review on the application of the PSO algorithm in power converter systems. Then, a sample application is described, focusing on the implementation of the harmonic elimination pulse width modulation (HEPWM) technique on a single-phase inverter circuit. The results of a simulation and experimental work on the inverter operation have revealed that the PSO method employed is capable of accurately calculating the relevant switching angles and generating the gate signals for the inverter power devices and improving its overall system performance.

Keywords: particle swarm optimisation; PSO; inverter circuits; harmonic elimination PWM; HEPWM; pulse width modulation; artificial intelligence; power converters; simulation; switching angles; gate signals.

DOI: 10.1504/IJAISC.2013.056848

International Journal of Artificial Intelligence and Soft Computing, 2013 Vol.3 No.4, pp.372 - 386

Received: 19 Jun 2012
Accepted: 03 Mar 2013
Published online: 12 Jul 2014 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article