Title: THD minimisation using genetic algorithm on the nine-level multilevel inverters

Authors: S. Ravikumar; H. Vennila; B. Ajai

Addresses: Department of Electrical and Electronics Engineering, Nurul Islam University, Kumaracoil, Tami Nadu, India ' Department of Electrical and Electronics Engineering, Nurul Islam University, Kumaracoil, Tami Nadu, India ' Government Engineering College, Idukki, Kerala, India

Abstract: Determination of optimal switching angles in inverters is a significant research area and involves maximum and quality power is achievement by reducing the total harmonic distortion (THD) present in the output waveform. Hence, by computing the appropriate switching angles of the inverters, these harmonics appearing in the output voltage could be reduced. The problem formulation in the proposed research paper lies in formulating an appropriate switching strategy to maintain optimality in power quality. A genetic algorithm (GA) optimisation technique to compute the optimum switching angles of a nine-level multilevel inverter is investigated, algorithm formulated and experimental analysis carried out. In three-phase applications, the line-voltage harmonics are of the main concern from the load point of view. In this paper, using the genetic algorithm and sinusoidal PWM technique, a THD minimisation process is applied to the line-to- line voltage of the inverter. This paper is based on a comparison between seven level cascaded and nine level diode clamped multilevel inverter.

Keywords: optimal minimisation of THD; OMTHD; genetic algorithm; GA; line-voltage THD; multilevel inverter; phase voltage THD; THD reduction.

DOI: 10.1504/IJAIP.2020.107528

International Journal of Advanced Intelligence Paradigms, 2020 Vol.16 No.3/4, pp.306 - 323

Received: 13 Jun 2017
Accepted: 15 Sep 2017

Published online: 01 Jun 2020 *

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