Improved PSO: A Comparative Study in MPPT Algorithm for PV System Control under Partial Shading Conditions

This paper deals with the implementation and analysis of a new maximum power point tracking (MPPT) control method, which is tested under variable climatic conditions. This new MPPT strategy has been created for photovoltaic systems based on Particle Swarm Optimization (PSO). The novel Improved Parti...

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Main Authors: Wafa Hayder, Emanuele Ogliari, Alberto Dolara, Aycha Abid, Mouna Ben Hamed, Lasaad Sbita
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/8/2035
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author Wafa Hayder
Emanuele Ogliari
Alberto Dolara
Aycha Abid
Mouna Ben Hamed
Lasaad Sbita
author_facet Wafa Hayder
Emanuele Ogliari
Alberto Dolara
Aycha Abid
Mouna Ben Hamed
Lasaad Sbita
author_sort Wafa Hayder
collection DOAJ
description This paper deals with the implementation and analysis of a new maximum power point tracking (MPPT) control method, which is tested under variable climatic conditions. This new MPPT strategy has been created for photovoltaic systems based on Particle Swarm Optimization (PSO). The novel Improved Particle Swarm Optimization (IPSO) algorithm is tested in several simulations which have been implemented in view of the various system responses such as: voltage, current, and power. The performances of the proposed IPSO algorithm have been completed and compared with results of well-established methods adopted in the literature showing a higher accuracy.
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spelling doaj.art-e9f5c4bd0daa4e0aaab3d230698bfe032023-11-19T22:06:40ZengMDPI AGEnergies1996-10732020-04-01138203510.3390/en13082035Improved PSO: A Comparative Study in MPPT Algorithm for PV System Control under Partial Shading ConditionsWafa Hayder0Emanuele Ogliari1Alberto Dolara2Aycha Abid3Mouna Ben Hamed4Lasaad Sbita5Department of Electrical Engineering, National Engineering School of Gabes, 6029 Gabes, TunisiaDepartment of Energy, Politecnico di Milano, 20156 Milan, ItalyDepartment of Energy, Politecnico di Milano, 20156 Milan, ItalyDepartment of Electrical Engineering, National Engineering School of Gabes, 6029 Gabes, TunisiaDepartment of Electrical Engineering, National Engineering School of Gabes, 6029 Gabes, TunisiaDepartment of Electrical Engineering, National Engineering School of Gabes, 6029 Gabes, TunisiaThis paper deals with the implementation and analysis of a new maximum power point tracking (MPPT) control method, which is tested under variable climatic conditions. This new MPPT strategy has been created for photovoltaic systems based on Particle Swarm Optimization (PSO). The novel Improved Particle Swarm Optimization (IPSO) algorithm is tested in several simulations which have been implemented in view of the various system responses such as: voltage, current, and power. The performances of the proposed IPSO algorithm have been completed and compared with results of well-established methods adopted in the literature showing a higher accuracy.https://www.mdpi.com/1996-1073/13/8/2035maximum power point tracking (MPPT)particle swarm optimization algorithm (PSO)photovoltaic (PV)
spellingShingle Wafa Hayder
Emanuele Ogliari
Alberto Dolara
Aycha Abid
Mouna Ben Hamed
Lasaad Sbita
Improved PSO: A Comparative Study in MPPT Algorithm for PV System Control under Partial Shading Conditions
Energies
maximum power point tracking (MPPT)
particle swarm optimization algorithm (PSO)
photovoltaic (PV)
title Improved PSO: A Comparative Study in MPPT Algorithm for PV System Control under Partial Shading Conditions
title_full Improved PSO: A Comparative Study in MPPT Algorithm for PV System Control under Partial Shading Conditions
title_fullStr Improved PSO: A Comparative Study in MPPT Algorithm for PV System Control under Partial Shading Conditions
title_full_unstemmed Improved PSO: A Comparative Study in MPPT Algorithm for PV System Control under Partial Shading Conditions
title_short Improved PSO: A Comparative Study in MPPT Algorithm for PV System Control under Partial Shading Conditions
title_sort improved pso a comparative study in mppt algorithm for pv system control under partial shading conditions
topic maximum power point tracking (MPPT)
particle swarm optimization algorithm (PSO)
photovoltaic (PV)
url https://www.mdpi.com/1996-1073/13/8/2035
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