Hardware-in-the-Loop Implementation of the Hybrid FPA-P&O Approach for Optimizing Photovoltaic Systems under Partial Shading Conditions

Efficient solar panel power generation is crucial for sustainable energy systems, particularly as PV systems are often installed near urban areas where shadows from buildings and trees can cause fluctuations in power output.  Hence, it is essential to employ Maximum Power Point Tracking (MPPT) to co...

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Main Authors: Fares Bettahar, Sabrina Abdeddaim, Achour Betka
Format: Article
Language:English
Published: Renewable Energy Development Center (CDER) 2025-06-01
Series:Revue des Énergies Renouvelables
Subjects:
Online Access:https://revue.cder.dz/index.php/rer/article/view/1279
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author Fares Bettahar
Sabrina Abdeddaim
Achour Betka
author_facet Fares Bettahar
Sabrina Abdeddaim
Achour Betka
author_sort Fares Bettahar
collection DOAJ
description Efficient solar panel power generation is crucial for sustainable energy systems, particularly as PV systems are often installed near urban areas where shadows from buildings and trees can cause fluctuations in power output.  Hence, it is essential to employ Maximum Power Point Tracking (MPPT) to consistently ascertain the MPP of the PV module in real-time, irrespective of the weather conditions. The present paper aims to propose a hybrid Maximum Power Point Tracking (MPPT) technique that uses the Flower Pollination Algorithm (FPA) and Perturb and Observe (P&O) methods, applied to photovoltaic systems under partial shading conditions PSCs. The photovoltaic system was implemented using a Hardware-in-loop (HIL) setup. The proposed MPPT technique is compared with the classical P&O and standard FPA. In addition, the proposed algorithm gives 99 % tracking efficiency under various shading patterns. The efficacy of the proposed algorithm is overall superior compared to other methods in terms of statistical analysis and tracking time and almost zero oscillation near GMMP. These results underscore the significant potential of the P&O-FPA algorithm to enhance photovoltaic performance, particularly in situations where partial shading conditions.
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institution Kabale University
issn 1112-2242
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language English
publishDate 2025-06-01
publisher Renewable Energy Development Center (CDER)
record_format Article
series Revue des Énergies Renouvelables
spelling doaj-art-af3cc02e51174a9cb716d31d8e428ff42025-08-20T03:28:58ZengRenewable Energy Development Center (CDER)Revue des Énergies Renouvelables1112-22422716-82472025-06-0128116918510.54966/jreen.v28i1.12791279Hardware-in-the-Loop Implementation of the Hybrid FPA-P&O Approach for Optimizing Photovoltaic Systems under Partial Shading ConditionsFares Bettahar0Sabrina Abdeddaim1Achour Betka2Electrical Engineering Department, Faculty of Sciences and Technology, University of Biskra, AlgeriaElectrical Engineering Department, Faculty of Sciences and Technology, University of Biskra, AlgeriaElectrical Engineering Department, Faculty of Sciences and Technology, University of Biskra, AlgeriaEfficient solar panel power generation is crucial for sustainable energy systems, particularly as PV systems are often installed near urban areas where shadows from buildings and trees can cause fluctuations in power output.  Hence, it is essential to employ Maximum Power Point Tracking (MPPT) to consistently ascertain the MPP of the PV module in real-time, irrespective of the weather conditions. The present paper aims to propose a hybrid Maximum Power Point Tracking (MPPT) technique that uses the Flower Pollination Algorithm (FPA) and Perturb and Observe (P&O) methods, applied to photovoltaic systems under partial shading conditions PSCs. The photovoltaic system was implemented using a Hardware-in-loop (HIL) setup. The proposed MPPT technique is compared with the classical P&O and standard FPA. In addition, the proposed algorithm gives 99 % tracking efficiency under various shading patterns. The efficacy of the proposed algorithm is overall superior compared to other methods in terms of statistical analysis and tracking time and almost zero oscillation near GMMP. These results underscore the significant potential of the P&O-FPA algorithm to enhance photovoltaic performance, particularly in situations where partial shading conditions.https://revue.cder.dz/index.php/rer/article/view/1279photovoltaic generation systemsmppt fpa-p&opscshardware-in-loop
spellingShingle Fares Bettahar
Sabrina Abdeddaim
Achour Betka
Hardware-in-the-Loop Implementation of the Hybrid FPA-P&O Approach for Optimizing Photovoltaic Systems under Partial Shading Conditions
Revue des Énergies Renouvelables
photovoltaic generation systems
mppt
fpa-p&o
pscs
hardware-in-loop
title Hardware-in-the-Loop Implementation of the Hybrid FPA-P&O Approach for Optimizing Photovoltaic Systems under Partial Shading Conditions
title_full Hardware-in-the-Loop Implementation of the Hybrid FPA-P&O Approach for Optimizing Photovoltaic Systems under Partial Shading Conditions
title_fullStr Hardware-in-the-Loop Implementation of the Hybrid FPA-P&O Approach for Optimizing Photovoltaic Systems under Partial Shading Conditions
title_full_unstemmed Hardware-in-the-Loop Implementation of the Hybrid FPA-P&O Approach for Optimizing Photovoltaic Systems under Partial Shading Conditions
title_short Hardware-in-the-Loop Implementation of the Hybrid FPA-P&O Approach for Optimizing Photovoltaic Systems under Partial Shading Conditions
title_sort hardware in the loop implementation of the hybrid fpa p o approach for optimizing photovoltaic systems under partial shading conditions
topic photovoltaic generation systems
mppt
fpa-p&o
pscs
hardware-in-loop
url https://revue.cder.dz/index.php/rer/article/view/1279
work_keys_str_mv AT faresbettahar hardwareintheloopimplementationofthehybridfpapoapproachforoptimizingphotovoltaicsystemsunderpartialshadingconditions
AT sabrinaabdeddaim hardwareintheloopimplementationofthehybridfpapoapproachforoptimizingphotovoltaicsystemsunderpartialshadingconditions
AT achourbetka hardwareintheloopimplementationofthehybridfpapoapproachforoptimizingphotovoltaicsystemsunderpartialshadingconditions