Power Quality Enhancement in a Grid-Integrated Photovoltaic System Using Hybrid Techniques

In recent years, the photovoltaic (PV) system was designed to supply solar power through photovoltaic arrays. The PV generator exhibits nonlinear voltage–current characteristics and its maximum power point tracking (MPPT), which varies with temperature and radiation. In the event of non-uniform sola...

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Autores principales:	Prasad Kumar Bandahalli Mallappa, Herminio Martinez Garcia, Guillermo Velasco Quesada
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	photovoltaic maximum power point tracking grey wolf optimization binary particle swarm optimization multilevel inverter total harmonic distortion Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/45901b31d71549b3a43ef39dc7a524b4
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id	oai:doaj.org-article:45901b31d71549b3a43ef39dc7a524b4
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spelling	oai:doaj.org-article:45901b31d71549b3a43ef39dc7a524b42021-11-11T15:10:54ZPower Quality Enhancement in a Grid-Integrated Photovoltaic System Using Hybrid Techniques10.3390/app1121101202076-3417https://doaj.org/article/45901b31d71549b3a43ef39dc7a524b42021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10120https://doaj.org/toc/2076-3417In recent years, the photovoltaic (PV) system was designed to supply solar power through photovoltaic arrays. The PV generator exhibits nonlinear voltage–current characteristics and its maximum power point tracking (MPPT), which varies with temperature and radiation. In the event of non-uniform solar insolation, several multiple maximum power points (MPPs) appear in the power–voltage characteristic of the PV module. Thus, a hybrid combination of binary particle swarm optimization (BPSO) and grey wolf optimization (GWO) is proposed herein to handle multiple MPPs. This combination is nowhere found in the literature, so the author chose this hybrid technique; and the main advantage of the proposed method is its ability to predict the global MPP (GMPP) in a very short time and to maintain accurate performance, even under different environmental conditions. Moreover, a 31-level multilevel inverter (MLI) was designed with a lower blocking voltage process to reduce the complexity of the circuit design. The entire system was executed in the MATLAB platform to examine the performance of the PV system, which was shown to extract a maximum power of 92.930 kW. The simulation design clearly showed that the proposed method with a 31-level MLI achieved better results in terms of total harmonic distortion (THD) at 1.60%, which is less when compared to the existing genetic algorithm (GA) and artificial neural networks (ANNs).Prasad Kumar Bandahalli MallappaHerminio Martinez GarciaGuillermo Velasco QuesadaMDPI AGarticlephotovoltaicmaximum power point trackinggrey wolf optimizationbinary particle swarm optimizationmultilevel invertertotal harmonic distortionTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10120, p 10120 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	photovoltaic maximum power point tracking grey wolf optimization binary particle swarm optimization multilevel inverter total harmonic distortion Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	photovoltaic maximum power point tracking grey wolf optimization binary particle swarm optimization multilevel inverter total harmonic distortion Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Prasad Kumar Bandahalli Mallappa Herminio Martinez Garcia Guillermo Velasco Quesada Power Quality Enhancement in a Grid-Integrated Photovoltaic System Using Hybrid Techniques
description	In recent years, the photovoltaic (PV) system was designed to supply solar power through photovoltaic arrays. The PV generator exhibits nonlinear voltage–current characteristics and its maximum power point tracking (MPPT), which varies with temperature and radiation. In the event of non-uniform solar insolation, several multiple maximum power points (MPPs) appear in the power–voltage characteristic of the PV module. Thus, a hybrid combination of binary particle swarm optimization (BPSO) and grey wolf optimization (GWO) is proposed herein to handle multiple MPPs. This combination is nowhere found in the literature, so the author chose this hybrid technique; and the main advantage of the proposed method is its ability to predict the global MPP (GMPP) in a very short time and to maintain accurate performance, even under different environmental conditions. Moreover, a 31-level multilevel inverter (MLI) was designed with a lower blocking voltage process to reduce the complexity of the circuit design. The entire system was executed in the MATLAB platform to examine the performance of the PV system, which was shown to extract a maximum power of 92.930 kW. The simulation design clearly showed that the proposed method with a 31-level MLI achieved better results in terms of total harmonic distortion (THD) at 1.60%, which is less when compared to the existing genetic algorithm (GA) and artificial neural networks (ANNs).
format	article
author	Prasad Kumar Bandahalli Mallappa Herminio Martinez Garcia Guillermo Velasco Quesada
author_facet	Prasad Kumar Bandahalli Mallappa Herminio Martinez Garcia Guillermo Velasco Quesada
author_sort	Prasad Kumar Bandahalli Mallappa
title	Power Quality Enhancement in a Grid-Integrated Photovoltaic System Using Hybrid Techniques
title_short	Power Quality Enhancement in a Grid-Integrated Photovoltaic System Using Hybrid Techniques
title_full	Power Quality Enhancement in a Grid-Integrated Photovoltaic System Using Hybrid Techniques
title_fullStr	Power Quality Enhancement in a Grid-Integrated Photovoltaic System Using Hybrid Techniques
title_full_unstemmed	Power Quality Enhancement in a Grid-Integrated Photovoltaic System Using Hybrid Techniques
title_sort	power quality enhancement in a grid-integrated photovoltaic system using hybrid techniques
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/45901b31d71549b3a43ef39dc7a524b4
work_keys_str_mv	AT prasadkumarbandahallimallappa powerqualityenhancementinagridintegratedphotovoltaicsystemusinghybridtechniques AT herminiomartinezgarcia powerqualityenhancementinagridintegratedphotovoltaicsystemusinghybridtechniques AT guillermovelascoquesada powerqualityenhancementinagridintegratedphotovoltaicsystemusinghybridtechniques
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Power Quality Enhancement in a Grid-Integrated Photovoltaic System Using Hybrid Techniques

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