Performance Evaluation of Analytical Methods for Parameters Extraction of Photovoltaic Generators

This paper presents a succinct exploration of several analytical methods for extracting the parameters of the single-diode model (SDM) of a photovoltaic (PV) module under standard test conditions (STC). The paper investigates six methods and presents the detailed mathematical analysis leading to the...

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Main Authors: Nader Anani, Haider Ibrahim
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/18/4825
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spelling doaj-6ccf246ded9e4a77a29540017c6722702020-11-25T03:41:20ZengMDPI AGEnergies1996-10732020-09-01134825482510.3390/en13184825Performance Evaluation of Analytical Methods for Parameters Extraction of Photovoltaic GeneratorsNader Anani0Haider Ibrahim1School of Engineering, University of Wolverhampton, Telford TF2 9NT, UKDepartment of Electrical Technique, Southern Technical University, Technical Institute-Qurna, Basra, IraqThis paper presents a succinct exploration of several analytical methods for extracting the parameters of the single-diode model (SDM) of a photovoltaic (PV) module under standard test conditions (STC). The paper investigates six methods and presents the detailed mathematical analysis leading to the development of each method. To evaluate the performance of these methods, MATLAB-based software has been devised and deployed to generate the results of each method when used to extract the SDM parameters of various PV test modules of different PV technologies. Similar software has also been developed to extract the same parameters using well-established numerical and iterative techniques. A comparison is subsequently made between the synthesized results and those obtained using numerical and iterative methods. The comparison indicates that although analytical methods may involve a significant amount of approximations, their accuracy can be comparable to that of their numerical and iterative counterparts, with the added advantage of a significant reduction in computational complexity, and without the initialization and convergence difficulties, which are normally associated with numerical methods.https://www.mdpi.com/1996-1073/13/18/4825ideality factorparameter extractionphotocurrentsaturation currentseries resistanceshunt resistance
collection DOAJ
language English
format Article
sources DOAJ
author Nader Anani
Haider Ibrahim
spellingShingle Nader Anani
Haider Ibrahim
Performance Evaluation of Analytical Methods for Parameters Extraction of Photovoltaic Generators
Energies
ideality factor
parameter extraction
photocurrent
saturation current
series resistance
shunt resistance
author_facet Nader Anani
Haider Ibrahim
author_sort Nader Anani
title Performance Evaluation of Analytical Methods for Parameters Extraction of Photovoltaic Generators
title_short Performance Evaluation of Analytical Methods for Parameters Extraction of Photovoltaic Generators
title_full Performance Evaluation of Analytical Methods for Parameters Extraction of Photovoltaic Generators
title_fullStr Performance Evaluation of Analytical Methods for Parameters Extraction of Photovoltaic Generators
title_full_unstemmed Performance Evaluation of Analytical Methods for Parameters Extraction of Photovoltaic Generators
title_sort performance evaluation of analytical methods for parameters extraction of photovoltaic generators
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2020-09-01
description This paper presents a succinct exploration of several analytical methods for extracting the parameters of the single-diode model (SDM) of a photovoltaic (PV) module under standard test conditions (STC). The paper investigates six methods and presents the detailed mathematical analysis leading to the development of each method. To evaluate the performance of these methods, MATLAB-based software has been devised and deployed to generate the results of each method when used to extract the SDM parameters of various PV test modules of different PV technologies. Similar software has also been developed to extract the same parameters using well-established numerical and iterative techniques. A comparison is subsequently made between the synthesized results and those obtained using numerical and iterative methods. The comparison indicates that although analytical methods may involve a significant amount of approximations, their accuracy can be comparable to that of their numerical and iterative counterparts, with the added advantage of a significant reduction in computational complexity, and without the initialization and convergence difficulties, which are normally associated with numerical methods.
topic ideality factor
parameter extraction
photocurrent
saturation current
series resistance
shunt resistance
url https://www.mdpi.com/1996-1073/13/18/4825
work_keys_str_mv AT naderanani performanceevaluationofanalyticalmethodsforparametersextractionofphotovoltaicgenerators
AT haideribrahim performanceevaluationofanalyticalmethodsforparametersextractionofphotovoltaicgenerators
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