Optimization of accurate estimation of single diode solar photovoltaic parameters and extraction of maximum power point under different conditions

Optimization of accurate estimation of single diode solar photovoltaic parameters and extraction of maximum power point under different conditions

Introduction. With the snowballing requirement of renewable resources of energy, solar energy has been an area of key concern to the increasing demand for electricity. Solar photovoltaic has gotten a considerable amount of consideration from researchers in recent years. Purpose. For generating nearl...

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Date:2021
Main Authors: Akbar, F., Mehmood, T., Sadiq, K., Ullah, M.F.
Format: Article
Language:English
Published: National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine 2021
Subjects:
maximum power point
maximum power point error
genetic algorithm
flower pollination algorithm
Online Access:http://eie.khpi.edu.ua/article/view/245867
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Journal Title:Electrical Engineering & Electromechanics

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Electrical Engineering & Electromechanics
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spelling eiekhpieduua-article-2458672021-12-03T08:03:07Z Optimization of accurate estimation of single diode solar photovoltaic parameters and extraction of maximum power point under different conditions Optimization of accurate estimation of single diode solar photovoltaic parameters and extraction of maximum power point under different conditions Akbar, F. Mehmood, T. Sadiq, K. Ullah, M.F. maximum power point maximum power point error genetic algorithm flower pollination algorithm максимальна точка потужності максимальна похибка точки потужності генетичний алгоритм алгоритм запилення квіток Introduction. With the snowballing requirement of renewable resources of energy, solar energy has been an area of key concern to the increasing demand for electricity. Solar photovoltaic has gotten a considerable amount of consideration from researchers in recent years. Purpose. For generating nearly realistic curves for the solar cell model it is needed to estimate unknown parameters with utmost precision. The five unknown parameters include diode-ideality factor, shunt-resistance, photon-current, diode dark saturation current, and series-resistance. Novelty. The proposed research method hybridizes flower pollination algorithm with least square method to better estimate the unknown parameters, and produce more realistic curves. Methodology. The proposed method shows many promising results that are more realistic in nature, as compared to other methods. Shunt-resistance and series-resistance are considered and diode constant is not neglected in this approach that previously has been in practice. The values of series-resistance and diode-ideality factor are found using flower pollination algorithm while shunt-resistance, diode dark saturation current and photon-current are found through least square method. Results. The combination of these techniques has achieved better results compared to other techniques. The simulation studies are carried on MATLAB/Simulink. Вступ. З огляду на величезну потребу у відновлюваних енергетичних ресурсах, сонячна енергія стала ключовою сферою розв’язання проблеми зростання попиту на електроенергію. За останні роки сонячна фотоелектрична техніка отримала значну увагу з боку дослідників. Мета. Для створення майже реалістичних кривих для моделі сонячних батарей необхідно оцінити невідомі параметри з максимальною точністю. П'ять невідомих параметрів включають коефіцієнт ідеальності діодів, опір шунту, фотонний струм, струм темного насичення діодів і послідовний опір. Новизна. Запропонований метод дослідження поєднує алгоритм запилення квітів із методом найменших квадратів для кращої оцінки невідомих параметрів та отримання більш реалістичних кривих. Методологія. Запропонований метод демонструє багато перспективних результатів, які є більш реалістичними за своєю природою, порівняно з іншими методами. Розглянуто опір шунта і послідовний опір, і в цьому підході, який раніше застосовувався на практиці, не нехтують постійною діода. Значення послідовного опору та коефіцієнта ідеальності діодів визначаються за допомогою алгоритму запилення квіток, тоді як опір шунту, струм темного насичення діодів і фотонний струм - методом найменших квадратів. Результати. Поєднання цих методів забезпечило кращі результати у порівнянні з іншими методами. Моделювання проводиться на MATLAB/Simulink. National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine 2021-12-03 Article Article application/pdf http://eie.khpi.edu.ua/article/view/245867 10.20998/2074-272X.2021.6.07 Electrical Engineering & Electromechanics; No. 6 (2021); 46-53 Электротехника и Электромеханика; № 6 (2021); 46-53 Електротехніка і Електромеханіка; № 6 (2021); 46-53 2309-3404 2074-272X en http://eie.khpi.edu.ua/article/view/245867/243362 Copyright (c) 2021 F. Akbar, T. Mehmood, K. Sadiq, M.F. Ullah http://creativecommons.org/licenses/by-nc/4.0
institution Electrical Engineering & Electromechanics
baseUrl_str
datestamp_date 2021-12-03T08:03:07Z
collection OJS
language English
topic maximum power point
maximum power point error
genetic algorithm
flower pollination algorithm
spellingShingle maximum power point
maximum power point error
genetic algorithm
flower pollination algorithm
Akbar, F.
Mehmood, T.
Sadiq, K.
Ullah, M.F.
Optimization of accurate estimation of single diode solar photovoltaic parameters and extraction of maximum power point under different conditions
topic_facet maximum power point
maximum power point error
genetic algorithm
flower pollination algorithm
максимальна точка потужності
максимальна похибка точки потужності
генетичний алгоритм
алгоритм запилення квіток
format Article
author Akbar, F.
Mehmood, T.
Sadiq, K.
Ullah, M.F.
author_facet Akbar, F.
Mehmood, T.
Sadiq, K.
Ullah, M.F.
author_sort Akbar, F.
title Optimization of accurate estimation of single diode solar photovoltaic parameters and extraction of maximum power point under different conditions
title_short Optimization of accurate estimation of single diode solar photovoltaic parameters and extraction of maximum power point under different conditions
title_full Optimization of accurate estimation of single diode solar photovoltaic parameters and extraction of maximum power point under different conditions
title_fullStr Optimization of accurate estimation of single diode solar photovoltaic parameters and extraction of maximum power point under different conditions
title_full_unstemmed Optimization of accurate estimation of single diode solar photovoltaic parameters and extraction of maximum power point under different conditions
title_sort optimization of accurate estimation of single diode solar photovoltaic parameters and extraction of maximum power point under different conditions
title_alt Optimization of accurate estimation of single diode solar photovoltaic parameters and extraction of maximum power point under different conditions
description Introduction. With the snowballing requirement of renewable resources of energy, solar energy has been an area of key concern to the increasing demand for electricity. Solar photovoltaic has gotten a considerable amount of consideration from researchers in recent years. Purpose. For generating nearly realistic curves for the solar cell model it is needed to estimate unknown parameters with utmost precision. The five unknown parameters include diode-ideality factor, shunt-resistance, photon-current, diode dark saturation current, and series-resistance. Novelty. The proposed research method hybridizes flower pollination algorithm with least square method to better estimate the unknown parameters, and produce more realistic curves. Methodology. The proposed method shows many promising results that are more realistic in nature, as compared to other methods. Shunt-resistance and series-resistance are considered and diode constant is not neglected in this approach that previously has been in practice. The values of series-resistance and diode-ideality factor are found using flower pollination algorithm while shunt-resistance, diode dark saturation current and photon-current are found through least square method. Results. The combination of these techniques has achieved better results compared to other techniques. The simulation studies are carried on MATLAB/Simulink.
publisher National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine
publishDate 2021
url http://eie.khpi.edu.ua/article/view/245867
work_keys_str_mv AT akbarf optimizationofaccurateestimationofsinglediodesolarphotovoltaicparametersandextractionofmaximumpowerpointunderdifferentconditions
AT mehmoodt optimizationofaccurateestimationofsinglediodesolarphotovoltaicparametersandextractionofmaximumpowerpointunderdifferentconditions
AT sadiqk optimizationofaccurateestimationofsinglediodesolarphotovoltaicparametersandextractionofmaximumpowerpointunderdifferentconditions
AT ullahmf optimizationofaccurateestimationofsinglediodesolarphotovoltaicparametersandextractionofmaximumpowerpointunderdifferentconditions
first_indexed 2025-07-17T11:48:46Z
last_indexed 2025-07-17T11:48:46Z
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