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Opposition-Based Quantum Bat Algorithm to Eliminate Lower-Order Harmonics of Multilevel Inverters

Islam, Jahedul, Meraj, Sheikh Tanzim, Masaoud, Ammar, Mahmud, Md. Apel, Nazir, Amril, Kabir, Muhammad Ashad, Hossain, Md. Moinul, Mumtaz, Farhan (2021) Opposition-Based Quantum Bat Algorithm to Eliminate Lower-Order Harmonics of Multilevel Inverters. IEEE Access, 9 . pp. 103610-103626. (doi:10.1109/ACCESS.2021.3098190) (KAR id:89554)

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Official URL:
https://doi.org/10.1109/ACCESS.2021.3098190

Abstract

Selective harmonic elimination (SHE) technique is used in power inverters to eliminate specific lower-order harmonics by determining optimum switching angles that are used to generate Pulse Width Modulation (PWM) signals for multilevel inverter (MLI) switches. Various optimization algorithms have been developed to determine the optimum switching angles. However, these techniques are still trapped in local optima. This study proposes an opposition-based quantum bat algorithm (OQBA) to determine these optimum switching angles. This algorithm is formulated by utilizing habitual characteristics of bats. It has advanced learning ability that can effectively remove lower-order harmonics from the output voltage of MLI. It can eventually increase the quality of the output voltage along with the efficiency of the MLI. The performance of the algorithm is evaluated with three different case studies involving 7, 11, and 17-level three-phase MLIs. The results are verified using both simulation and experimental studies. The results showed substantial improvement and superiority compared to other available algorithms both in terms of the harmonics reduction of harmonics and finding the correct solutions.

Item Type: Article
DOI/Identification number: 10.1109/ACCESS.2021.3098190
Uncontrolled keywords: power electronics, multilevel inverter (MLI), optimization algorithm, pulse width modulation (PWM), selective harmonic elimination (SHE), total harmonic distortions (THD).
Subjects: Q Science
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Moinul Hossain
Date Deposited: 01 Aug 2021 21:31 UTC
Last Modified: 01 Aug 2021 21:31 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/89554 (The current URI for this page, for reference purposes)
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