An Efficient Heap-Based Optimizer for Parameters Identification of Modified Photovoltaic Models
The identification of parameters in solar cell models continue being an important issue in the simulation and design of the photovoltaic systems (PV). The models commonly used are based on diodes, the most important models are the three diode model; double diode model; and single diode model. Theref...
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Elsevier
2022-09-01
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Series: | Ain Shams Engineering Journal |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447922000399 |
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author | Diaa Salama AbdElminaam Essam H. Houssein Mokhtar Said Diego Oliva Ayman Nabil |
author_facet | Diaa Salama AbdElminaam Essam H. Houssein Mokhtar Said Diego Oliva Ayman Nabil |
author_sort | Diaa Salama AbdElminaam |
collection | DOAJ |
description | The identification of parameters in solar cell models continue being an important issue in the simulation and design of the photovoltaic systems (PV). The models commonly used are based on diodes, the most important models are the three diode model; double diode model; and single diode model. Therefore, an optimization problem of the parameter extraction of these models can be treated with an objective function to minimize the difference between the calculated data and the measured data. In order to deal with parameter extraction in PV, several traditional numerical analytical and hybrid models have been developed. Recently, the meta-heuristic optimization algorithms (MHs) have been used to overcome the complex to find with proper accuracy, highly credible results quickly. Therefore, this paper introduces a modification of the basic three PV models and an innovative objective function is also considered. Moreover, a recent meta-heuristic algorithm called Heap-based optimizer (HBO) is applied for extracting the PV parameters of the traditional and the modified three PV models including three diode, double diode and single diode. Comparison between the traditional three photovoltaic models and the modified three photovoltaic models is performed in this work based on the innovative objective function. The experimental results revealed that the HBO superiority over other competitor algorithms. Based on the results, the values of estimated parameters that achieved by HBO are the optimal values with the smallest error between calculated data and measured data. |
first_indexed | 2024-04-12T16:07:16Z |
format | Article |
id | doaj.art-81073518381540d0b889f6adf059de1d |
institution | Directory Open Access Journal |
issn | 2090-4479 |
language | English |
last_indexed | 2024-04-12T16:07:16Z |
publishDate | 2022-09-01 |
publisher | Elsevier |
record_format | Article |
series | Ain Shams Engineering Journal |
spelling | doaj.art-81073518381540d0b889f6adf059de1d2022-12-22T03:26:01ZengElsevierAin Shams Engineering Journal2090-44792022-09-01135101728An Efficient Heap-Based Optimizer for Parameters Identification of Modified Photovoltaic ModelsDiaa Salama AbdElminaam0Essam H. Houssein1Mokhtar Said2Diego Oliva3Ayman Nabil4Faculty of Computers and Artificial Intelligence, Benha University, Egypt; Faculty of Computer Science, Misr International University, Egypt; Corresponding author at: Faculty of Computers and Artificial Intelligence, Benha University, Egypt.Faculty of Computers and Information, Minia University, EgyptElectrical Engineering Department, Faculty of Engineering, Fayoum University, EgyptIN3 - Computer Science Department, Universitat Oberta de Catalunya, Castelldefels, Spain; Depto. de Ciencias Computacionales, Universidad de Guadalajara, CUCEI, Guadalajara, Jal, MexicoFaculty of Computer Science, Misr International University, EgyptThe identification of parameters in solar cell models continue being an important issue in the simulation and design of the photovoltaic systems (PV). The models commonly used are based on diodes, the most important models are the three diode model; double diode model; and single diode model. Therefore, an optimization problem of the parameter extraction of these models can be treated with an objective function to minimize the difference between the calculated data and the measured data. In order to deal with parameter extraction in PV, several traditional numerical analytical and hybrid models have been developed. Recently, the meta-heuristic optimization algorithms (MHs) have been used to overcome the complex to find with proper accuracy, highly credible results quickly. Therefore, this paper introduces a modification of the basic three PV models and an innovative objective function is also considered. Moreover, a recent meta-heuristic algorithm called Heap-based optimizer (HBO) is applied for extracting the PV parameters of the traditional and the modified three PV models including three diode, double diode and single diode. Comparison between the traditional three photovoltaic models and the modified three photovoltaic models is performed in this work based on the innovative objective function. The experimental results revealed that the HBO superiority over other competitor algorithms. Based on the results, the values of estimated parameters that achieved by HBO are the optimal values with the smallest error between calculated data and measured data.http://www.sciencedirect.com/science/article/pii/S2090447922000399Heap-based optimizer (HBO)PV parameter estimationThree diode modelDouble diode modelSingle diode modelSolar energy |
spellingShingle | Diaa Salama AbdElminaam Essam H. Houssein Mokhtar Said Diego Oliva Ayman Nabil An Efficient Heap-Based Optimizer for Parameters Identification of Modified Photovoltaic Models Ain Shams Engineering Journal Heap-based optimizer (HBO) PV parameter estimation Three diode model Double diode model Single diode model Solar energy |
title | An Efficient Heap-Based Optimizer for Parameters Identification of Modified Photovoltaic Models |
title_full | An Efficient Heap-Based Optimizer for Parameters Identification of Modified Photovoltaic Models |
title_fullStr | An Efficient Heap-Based Optimizer for Parameters Identification of Modified Photovoltaic Models |
title_full_unstemmed | An Efficient Heap-Based Optimizer for Parameters Identification of Modified Photovoltaic Models |
title_short | An Efficient Heap-Based Optimizer for Parameters Identification of Modified Photovoltaic Models |
title_sort | efficient heap based optimizer for parameters identification of modified photovoltaic models |
topic | Heap-based optimizer (HBO) PV parameter estimation Three diode model Double diode model Single diode model Solar energy |
url | http://www.sciencedirect.com/science/article/pii/S2090447922000399 |
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