ASO-Based SHE Method on Hybrid Multilevel Inverter for PV Application Under Dynamic Operating Conditions

In multilevel inverters (MLI), output voltage waveform consists of dominant low order harmonics, which needs to be minimized. Simultaneously, good control over the fundamental voltage for desirable operation is needed. In this paper, an atom search optimization (ASO) based selective harmonic elimina...

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Main Authors: Peeyush Kala, Vibhu Jately, Abhinav Sharma, Jyoti Joshi, Brian Azzopardi
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10238707/
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author Peeyush Kala
Vibhu Jately
Abhinav Sharma
Jyoti Joshi
Brian Azzopardi
author_facet Peeyush Kala
Vibhu Jately
Abhinav Sharma
Jyoti Joshi
Brian Azzopardi
author_sort Peeyush Kala
collection DOAJ
description In multilevel inverters (MLI), output voltage waveform consists of dominant low order harmonics, which needs to be minimized. Simultaneously, good control over the fundamental voltage for desirable operation is needed. In this paper, an atom search optimization (ASO) based selective harmonic elimination (SHE) method is proposed for a variable dc bus based reduced component count (RCC) MLI. ASO is a population-based metaheuristic algorithm, which mathematically models the motion of atoms in nature to accurately determine the optimum firing angle of the switches by solving SHE fitness function. The proposed ASO SHE method outperforms recent metaheuristics based SHE methods such as bee algorithm, imperialistic colonial algorithm (ICA), firefly, particle swarm optimization (PSO), and teaching learning-based optimization (TLBO) in solving SHE problem for 11-level multilevel inverter. Detailed simulation case studies are presented to effectively demonstrate the performance of the proposed ASO SHE method on a stand-alone photovoltaic (PV) based RCC MLI subjected to sudden changes in irradiance, load and dc-link capacitor voltage. The experimental results on a PV based variable dc bus multilevel inverter validate the excellent performance of ASO SHE method in minimizing the total harmonic distortion (THD) and dominant order harmonics under sudden change in operating conditions.
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spelling doaj.art-ace279d4d6c449e694f9a08ccb34eb4b2023-09-14T23:00:57ZengIEEEIEEE Access2169-35362023-01-0111980939811410.1109/ACCESS.2023.331162610238707ASO-Based SHE Method on Hybrid Multilevel Inverter for PV Application Under Dynamic Operating ConditionsPeeyush Kala0https://orcid.org/0000-0002-5155-3663Vibhu Jately1https://orcid.org/0000-0002-9354-9830Abhinav Sharma2https://orcid.org/0000-0003-3014-9079Jyoti Joshi3https://orcid.org/0000-0002-0003-8303Brian Azzopardi4Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Delhi NCR Campus, Ghaziabad, IndiaDepartment of Electrical and Electronics Engineering, University of Petroleum and Energy Studies, Dehradun, IndiaDepartment of Electrical and Electronics Engineering, University of Petroleum and Energy Studies, Dehradun, IndiaDepartment of Computer Science and Engineering, Graphic Era Hill University, Dehradun, IndiaInstitute of Engineering and Transport, Malta College of Arts, Science and Technology (MCAST), Paola, MaltaIn multilevel inverters (MLI), output voltage waveform consists of dominant low order harmonics, which needs to be minimized. Simultaneously, good control over the fundamental voltage for desirable operation is needed. In this paper, an atom search optimization (ASO) based selective harmonic elimination (SHE) method is proposed for a variable dc bus based reduced component count (RCC) MLI. ASO is a population-based metaheuristic algorithm, which mathematically models the motion of atoms in nature to accurately determine the optimum firing angle of the switches by solving SHE fitness function. The proposed ASO SHE method outperforms recent metaheuristics based SHE methods such as bee algorithm, imperialistic colonial algorithm (ICA), firefly, particle swarm optimization (PSO), and teaching learning-based optimization (TLBO) in solving SHE problem for 11-level multilevel inverter. Detailed simulation case studies are presented to effectively demonstrate the performance of the proposed ASO SHE method on a stand-alone photovoltaic (PV) based RCC MLI subjected to sudden changes in irradiance, load and dc-link capacitor voltage. The experimental results on a PV based variable dc bus multilevel inverter validate the excellent performance of ASO SHE method in minimizing the total harmonic distortion (THD) and dominant order harmonics under sudden change in operating conditions.https://ieeexplore.ieee.org/document/10238707/Atom search optimization (ASO)multilevel inverterphotovoltaic systemselective harmonic elimination (SHE)
spellingShingle Peeyush Kala
Vibhu Jately
Abhinav Sharma
Jyoti Joshi
Brian Azzopardi
ASO-Based SHE Method on Hybrid Multilevel Inverter for PV Application Under Dynamic Operating Conditions
IEEE Access
Atom search optimization (ASO)
multilevel inverter
photovoltaic system
selective harmonic elimination (SHE)
title ASO-Based SHE Method on Hybrid Multilevel Inverter for PV Application Under Dynamic Operating Conditions
title_full ASO-Based SHE Method on Hybrid Multilevel Inverter for PV Application Under Dynamic Operating Conditions
title_fullStr ASO-Based SHE Method on Hybrid Multilevel Inverter for PV Application Under Dynamic Operating Conditions
title_full_unstemmed ASO-Based SHE Method on Hybrid Multilevel Inverter for PV Application Under Dynamic Operating Conditions
title_short ASO-Based SHE Method on Hybrid Multilevel Inverter for PV Application Under Dynamic Operating Conditions
title_sort aso based she method on hybrid multilevel inverter for pv application under dynamic operating conditions
topic Atom search optimization (ASO)
multilevel inverter
photovoltaic system
selective harmonic elimination (SHE)
url https://ieeexplore.ieee.org/document/10238707/
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