Particle swarm optimisation and its applications in power converter systems Online publication date: Sat, 12-Jul-2014
by Naziha Ahmad Azli; Norkharziana Mohd Nayan; Shahrin Md Ayob
International Journal of Artificial Intelligence and Soft Computing (IJAISC), Vol. 3, No. 4, 2013
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.
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