Parameters optimization of solar PV cell/module using genetic algorithm based on non-uniform mutation

Extracting the optimum parameters of solar photovoltaic (PV) model using the experimental data of current–voltage is very critical in simulating, controlling, and optimizing the PV systems. One of the important problems encountered in modeling and simulating is to find a model that can extract param...

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Autores principales:	Driss Saadaoui, Mustapha Elyaqouti, Khalid Assalaou, Driss Ben hmamou, Souad Lidaighbi
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Algorithm genetic Single diode model Double diode model Photovoltaic Method optimization Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/5216b18b63ed43d6840e8f32fb15c240
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spelling	oai:doaj.org-article:5216b18b63ed43d6840e8f32fb15c2402021-11-12T04:47:07ZParameters optimization of solar PV cell/module using genetic algorithm based on non-uniform mutation2590-174510.1016/j.ecmx.2021.100129https://doaj.org/article/5216b18b63ed43d6840e8f32fb15c2402021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2590174521000544https://doaj.org/toc/2590-1745Extracting the optimum parameters of solar photovoltaic (PV) model using the experimental data of current–voltage is very critical in simulating, controlling, and optimizing the PV systems. One of the important problems encountered in modeling and simulating is to find a model that can extract parameters from PV models quickly, accurately, and reliably. Based on this motivation, the goal of this study is to suggest an improved algorithm, namely genetic algorithm based on non-uniform mutation (GAMNU), in order to approximate efficiently the parameters of solar cells and PV modules. In GAMNU, non-uniform mutation operator is used to maintain diversity in the explored solutions and the crossover operator follows an adaptive search strategy, which consists of searching the entire space at the beginning while maintaining a focused search when the population tends to converge in a certain region of the search space. The performance of the method is comprehensively evaluated on different solar cell models, including single and double diode, and single diode PV modules, of a R.T.C France silicon solar cell, ESP-160 PPW PV, STP6-120/36 and Photowatt-PWP201 module. The results obtained from single and double diode models for R.T.C France are respectively 9.8618×10-4 and 9.8683×10-4, and for Photowatt-PWP201, STP6-120/36 and ESP-160 PPW are 2.3824×10-3 2.382420230900×10-3, 1.6735×10-21.6735786505085×10-2 and 8.2942×10-2 8.2942×10-2. The statistical obtained results show that the proposed method has very competitive performance in terms of accuracy and reliability when compared to other advanced algorithms. Therefore, the proposed algorithm is highly useful to extract the parameters of solar PV models.Driss SaadaouiMustapha ElyaqoutiKhalid AssalaouDriss Ben hmamouSouad LidaighbiElsevierarticleAlgorithm geneticSingle diode modelDouble diode modelPhotovoltaicMethod optimizationEngineering (General). Civil engineering (General)TA1-2040ENEnergy Conversion and Management: X, Vol 12, Iss , Pp 100129- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Algorithm genetic Single diode model Double diode model Photovoltaic Method optimization Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Algorithm genetic Single diode model Double diode model Photovoltaic Method optimization Engineering (General). Civil engineering (General) TA1-2040 Driss Saadaoui Mustapha Elyaqouti Khalid Assalaou Driss Ben hmamou Souad Lidaighbi Parameters optimization of solar PV cell/module using genetic algorithm based on non-uniform mutation
description	Extracting the optimum parameters of solar photovoltaic (PV) model using the experimental data of current–voltage is very critical in simulating, controlling, and optimizing the PV systems. One of the important problems encountered in modeling and simulating is to find a model that can extract parameters from PV models quickly, accurately, and reliably. Based on this motivation, the goal of this study is to suggest an improved algorithm, namely genetic algorithm based on non-uniform mutation (GAMNU), in order to approximate efficiently the parameters of solar cells and PV modules. In GAMNU, non-uniform mutation operator is used to maintain diversity in the explored solutions and the crossover operator follows an adaptive search strategy, which consists of searching the entire space at the beginning while maintaining a focused search when the population tends to converge in a certain region of the search space. The performance of the method is comprehensively evaluated on different solar cell models, including single and double diode, and single diode PV modules, of a R.T.C France silicon solar cell, ESP-160 PPW PV, STP6-120/36 and Photowatt-PWP201 module. The results obtained from single and double diode models for R.T.C France are respectively 9.8618×10-4 and 9.8683×10-4, and for Photowatt-PWP201, STP6-120/36 and ESP-160 PPW are 2.3824×10-3 2.382420230900×10-3, 1.6735×10-21.6735786505085×10-2 and 8.2942×10-2 8.2942×10-2. The statistical obtained results show that the proposed method has very competitive performance in terms of accuracy and reliability when compared to other advanced algorithms. Therefore, the proposed algorithm is highly useful to extract the parameters of solar PV models.
format	article
author	Driss Saadaoui Mustapha Elyaqouti Khalid Assalaou Driss Ben hmamou Souad Lidaighbi
author_facet	Driss Saadaoui Mustapha Elyaqouti Khalid Assalaou Driss Ben hmamou Souad Lidaighbi
author_sort	Driss Saadaoui
title	Parameters optimization of solar PV cell/module using genetic algorithm based on non-uniform mutation
title_short	Parameters optimization of solar PV cell/module using genetic algorithm based on non-uniform mutation
title_full	Parameters optimization of solar PV cell/module using genetic algorithm based on non-uniform mutation
title_fullStr	Parameters optimization of solar PV cell/module using genetic algorithm based on non-uniform mutation
title_full_unstemmed	Parameters optimization of solar PV cell/module using genetic algorithm based on non-uniform mutation
title_sort	parameters optimization of solar pv cell/module using genetic algorithm based on non-uniform mutation
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/5216b18b63ed43d6840e8f32fb15c240
work_keys_str_mv	AT drisssaadaoui parametersoptimizationofsolarpvcellmoduleusinggeneticalgorithmbasedonnonuniformmutation AT mustaphaelyaqouti parametersoptimizationofsolarpvcellmoduleusinggeneticalgorithmbasedonnonuniformmutation AT khalidassalaou parametersoptimizationofsolarpvcellmoduleusinggeneticalgorithmbasedonnonuniformmutation AT drissbenhmamou parametersoptimizationofsolarpvcellmoduleusinggeneticalgorithmbasedonnonuniformmutation AT souadlidaighbi parametersoptimizationofsolarpvcellmoduleusinggeneticalgorithmbasedonnonuniformmutation
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Parameters optimization of solar PV cell/module using genetic algorithm based on non-uniform mutation

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