Dynamic Performance Evaluation of Photovoltaic Three-Diode Model-Based Rung-Kutta Optimizer
This paper employs the Rung-Kutta optimizer (RKO) to investigate and analyze the dynamic performance of PV units represented using three-diode model (TDM). The paper can be categorized into three phases; In phase one, efforts are exerted to adapt the proposed optimizer RKO for extracting the optimal...
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IEEE
2022-01-01
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Online Access: | https://ieeexplore.ieee.org/document/9749278/ |
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author | Mohamed F. Kotb Attia A. El-Fergany Eid Abdelbaki Gouda Ahmed M. Agwa |
author_facet | Mohamed F. Kotb Attia A. El-Fergany Eid Abdelbaki Gouda Ahmed M. Agwa |
author_sort | Mohamed F. Kotb |
collection | DOAJ |
description | This paper employs the Rung-Kutta optimizer (RKO) to investigate and analyze the dynamic performance of PV units represented using three-diode model (TDM). The paper can be categorized into three phases; In phase one, efforts are exerted to adapt the proposed optimizer RKO for extracting the optimal unknown parameters of the TDM for two widely used PV units namely PWP201/36 and STM6-40/36 modules. In the second phase, comprehensive comparisons between different recent well-known and challenging optimizers such as interior search algorithm, heap-based optimizer, artificial ecosystem-based optimizer, particle swarm optimizer and many more versus the RKO to indicate its effectiveness and viability. It can be confirmed after fair investigations that the RKO generates the lowest value of the root mean square errors (i.e. 2.050683 mA and 1.712171 mA for TDM PWP201/36 and TDM STM6-40/36 modules, respectively) In addition to that, other comparisons between one-, two- and three-diode models (i.e. SDM, DDM and TDM) using the RKO and other optimizers are made. Lastly, the optimal cropped parameters of the PWP201/36 module are used to create a full Simulink model when it is loaded by switched reluctance motor to analyze and study the dynamic performance of this PV module as a representative case under varied loading scenarios. Many parameters in regards to the SRM and behavior of the PV unit are traced and expansively discussed. It can be stated that the investigated results and comparisons indicate apparently the viability of the RKO improving the PV performance and suggests it to tackle other engineering optimization problems. |
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institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-04-14T08:31:16Z |
publishDate | 2022-01-01 |
publisher | IEEE |
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series | IEEE Access |
spelling | doaj.art-7a28477a467e46fb85193cd2979bb1792022-12-22T02:03:54ZengIEEEIEEE Access2169-35362022-01-0110383093832310.1109/ACCESS.2022.31650359749278Dynamic Performance Evaluation of Photovoltaic Three-Diode Model-Based Rung-Kutta OptimizerMohamed F. Kotb0https://orcid.org/0000-0002-6075-9049Attia A. El-Fergany1https://orcid.org/0000-0003-3476-1361Eid Abdelbaki Gouda2https://orcid.org/0000-0002-6720-6973Ahmed M. Agwa3Electrical Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, EgyptDepartment of Electric Power and Machines, Faculty of Engineering, Zagazig University, Zagazig, EgyptElectrical Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, EgyptDepartment of Electrical Engineering, College of Engineering, Northern Border University, Arar, Saudi ArabiaThis paper employs the Rung-Kutta optimizer (RKO) to investigate and analyze the dynamic performance of PV units represented using three-diode model (TDM). The paper can be categorized into three phases; In phase one, efforts are exerted to adapt the proposed optimizer RKO for extracting the optimal unknown parameters of the TDM for two widely used PV units namely PWP201/36 and STM6-40/36 modules. In the second phase, comprehensive comparisons between different recent well-known and challenging optimizers such as interior search algorithm, heap-based optimizer, artificial ecosystem-based optimizer, particle swarm optimizer and many more versus the RKO to indicate its effectiveness and viability. It can be confirmed after fair investigations that the RKO generates the lowest value of the root mean square errors (i.e. 2.050683 mA and 1.712171 mA for TDM PWP201/36 and TDM STM6-40/36 modules, respectively) In addition to that, other comparisons between one-, two- and three-diode models (i.e. SDM, DDM and TDM) using the RKO and other optimizers are made. Lastly, the optimal cropped parameters of the PWP201/36 module are used to create a full Simulink model when it is loaded by switched reluctance motor to analyze and study the dynamic performance of this PV module as a representative case under varied loading scenarios. Many parameters in regards to the SRM and behavior of the PV unit are traced and expansively discussed. It can be stated that the investigated results and comparisons indicate apparently the viability of the RKO improving the PV performance and suggests it to tackle other engineering optimization problems.https://ieeexplore.ieee.org/document/9749278/Models of solar generating unitsparameters’ extractionoptimization methodsdynamic performance assessmentsswitched reluctance motor |
spellingShingle | Mohamed F. Kotb Attia A. El-Fergany Eid Abdelbaki Gouda Ahmed M. Agwa Dynamic Performance Evaluation of Photovoltaic Three-Diode Model-Based Rung-Kutta Optimizer IEEE Access Models of solar generating units parameters’ extraction optimization methods dynamic performance assessments switched reluctance motor |
title | Dynamic Performance Evaluation of Photovoltaic Three-Diode Model-Based Rung-Kutta Optimizer |
title_full | Dynamic Performance Evaluation of Photovoltaic Three-Diode Model-Based Rung-Kutta Optimizer |
title_fullStr | Dynamic Performance Evaluation of Photovoltaic Three-Diode Model-Based Rung-Kutta Optimizer |
title_full_unstemmed | Dynamic Performance Evaluation of Photovoltaic Three-Diode Model-Based Rung-Kutta Optimizer |
title_short | Dynamic Performance Evaluation of Photovoltaic Three-Diode Model-Based Rung-Kutta Optimizer |
title_sort | dynamic performance evaluation of photovoltaic three diode model based rung kutta optimizer |
topic | Models of solar generating units parameters’ extraction optimization methods dynamic performance assessments switched reluctance motor |
url | https://ieeexplore.ieee.org/document/9749278/ |
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