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...

Full description

Bibliographic Details
Main Authors: Mohamed F. Kotb, Attia A. El-Fergany, Eid Abdelbaki Gouda, Ahmed M. Agwa
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9749278/
_version_ 1818022419475988480
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.
first_indexed 2024-04-14T08:31:16Z
format Article
id doaj.art-7a28477a467e46fb85193cd2979bb179
institution Directory Open Access Journal
issn 2169-3536
language English
last_indexed 2024-04-14T08:31:16Z
publishDate 2022-01-01
publisher IEEE
record_format Article
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/
work_keys_str_mv AT mohamedfkotb dynamicperformanceevaluationofphotovoltaicthreediodemodelbasedrungkuttaoptimizer
AT attiaaelfergany dynamicperformanceevaluationofphotovoltaicthreediodemodelbasedrungkuttaoptimizer
AT eidabdelbakigouda dynamicperformanceevaluationofphotovoltaicthreediodemodelbasedrungkuttaoptimizer
AT ahmedmagwa dynamicperformanceevaluationofphotovoltaicthreediodemodelbasedrungkuttaoptimizer