Characterization of PV panel and global optimization of its model parameters using genetic algorithm

This paper details an improved modeling technique for a photovoltaic (PV) module; utilizing the optimization ability of a genetic algorithm, with different parameters of the PV module being computed via this approach. The accurate modeling of any PV module is incumbent upon the values of these param...

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Main Authors:	Ismail, M.S., Moghavvemi, M., Mahlia, T.M.I.
Format:	Article
Published:	Elsevier 2013
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	https://doi.org/10.1016/j.enconman.2013.03.033 https://doi.org/10.1016/j.enconman.2013.03.033

id	um-9658
recordtype	eprints
spelling	um-96582017-11-23T03:39:36Z Characterization of PV panel and global optimization of its model parameters using genetic algorithm Ismail, M.S. Moghavvemi, M. Mahlia, T.M.I. TA Engineering (General). Civil engineering (General) This paper details an improved modeling technique for a photovoltaic (PV) module; utilizing the optimization ability of a genetic algorithm, with different parameters of the PV module being computed via this approach. The accurate modeling of any PV module is incumbent upon the values of these parameters, as it is imperative in the context of any further studies concerning different PV applications. Simulation, optimization and the design of the hybrid systems that include PV are examples of these applications. The global optimization of the parameters and the applicability for the entire range of the solar radiation and a wide range of temperatures are achievable via this approach. The Manufacturer's Data Sheet information is used as a basis for the purpose of parameter optimization, with an average absolute error fitness function formulated; and a numerical iterative method used to solve the voltage-current relation of the PV module. The results of single-diode and two-diode models are evaluated in order to ascertain which of them are more accurate. Other cases are also analyzed in this paper for the purpose of comparison. The Matlab-Simulink environment is used to simulate the operation of the PV module, depending on the extracted parameters. The results of the simulation are compared with the Data Sheet information, which is obtained via experimentation in order to validate the reliability of the approach. Three types of PV modules, using different technologies, are tested for the purpose of this validation, and the results confirm the accuracy and reliability of the approach developed in this study. The effectiveness of the model developed by this approach to predict the performance of the PV system under partial shading conditions was also validated. Elsevier 2013 Article PeerReviewed https://doi.org/10.1016/j.enconman.2013.03.033 Ismail, M.S.; Moghavvemi, M.; Mahlia, T.M.I. (2013) Characterization of PV panel and global optimization of its model parameters using genetic algorithm. Energy Conversion and Management <http://eprints.um.edu.my/view/publication/Energy_Conversion_and_Management.html>, 73. pp. 10-25. ISSN 0196-8904 http://eprints.um.edu.my/9658/
repository_type	Digital Repository
institution_category	Local University
institution	University Malaya
building	UM Research Repository
collection	Online Access
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Ismail, M.S. Moghavvemi, M. Mahlia, T.M.I. Characterization of PV panel and global optimization of its model parameters using genetic algorithm
description	This paper details an improved modeling technique for a photovoltaic (PV) module; utilizing the optimization ability of a genetic algorithm, with different parameters of the PV module being computed via this approach. The accurate modeling of any PV module is incumbent upon the values of these parameters, as it is imperative in the context of any further studies concerning different PV applications. Simulation, optimization and the design of the hybrid systems that include PV are examples of these applications. The global optimization of the parameters and the applicability for the entire range of the solar radiation and a wide range of temperatures are achievable via this approach. The Manufacturer's Data Sheet information is used as a basis for the purpose of parameter optimization, with an average absolute error fitness function formulated; and a numerical iterative method used to solve the voltage-current relation of the PV module. The results of single-diode and two-diode models are evaluated in order to ascertain which of them are more accurate. Other cases are also analyzed in this paper for the purpose of comparison. The Matlab-Simulink environment is used to simulate the operation of the PV module, depending on the extracted parameters. The results of the simulation are compared with the Data Sheet information, which is obtained via experimentation in order to validate the reliability of the approach. Three types of PV modules, using different technologies, are tested for the purpose of this validation, and the results confirm the accuracy and reliability of the approach developed in this study. The effectiveness of the model developed by this approach to predict the performance of the PV system under partial shading conditions was also validated.
format	Article
author	Ismail, M.S. Moghavvemi, M. Mahlia, T.M.I.
author_facet	Ismail, M.S. Moghavvemi, M. Mahlia, T.M.I.
author_sort	Ismail, M.S.
title	Characterization of PV panel and global optimization of its model parameters using genetic algorithm
title_short	Characterization of PV panel and global optimization of its model parameters using genetic algorithm
title_full	Characterization of PV panel and global optimization of its model parameters using genetic algorithm
title_fullStr	Characterization of PV panel and global optimization of its model parameters using genetic algorithm
title_full_unstemmed	Characterization of PV panel and global optimization of its model parameters using genetic algorithm
title_sort	characterization of pv panel and global optimization of its model parameters using genetic algorithm
publisher	Elsevier
publishDate	2013
url	https://doi.org/10.1016/j.enconman.2013.03.033 https://doi.org/10.1016/j.enconman.2013.03.033
first_indexed	2018-09-06T05:44:37Z
last_indexed	2018-09-06T05:44:37Z
_version_	1610835745174454272

Characterization of PV panel and global optimization of its model parameters using genetic algorithm

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