Chaotic honey badger algorithm for single and double photovoltaic cell/module
PV cell/module/characteristic array accuracy is mainly influenced by their circuit elements, based on established circuit characteristics, under varied radiation and temperature operating conditions. As a result, this study provides a modified accessible Honey Badger algorithm (HBA) to identify the...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-12-01
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| Series: | Frontiers in Energy Research |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.1011887/full |
| _version_ | 1828091179554570240 |
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| author | Rolla Almodfer Mohammed Mudhsh Samah Alshathri Dalia Yousri Laith Abualigah Laith Abualigah Laith Abualigah Laith Abualigah Osama Farouk Hassan Mohamed Abd Elaziz Mohamed Abd Elaziz Mohamed Abd Elaziz Mohamed Abd Elaziz |
| author_facet | Rolla Almodfer Mohammed Mudhsh Samah Alshathri Dalia Yousri Laith Abualigah Laith Abualigah Laith Abualigah Laith Abualigah Osama Farouk Hassan Mohamed Abd Elaziz Mohamed Abd Elaziz Mohamed Abd Elaziz Mohamed Abd Elaziz |
| author_sort | Rolla Almodfer |
| collection | DOAJ |
| description | PV cell/module/characteristic array accuracy is mainly influenced by their circuit elements, based on established circuit characteristics, under varied radiation and temperature operating conditions. As a result, this study provides a modified accessible Honey Badger algorithm (HBA) to identify the trustworthy parameters of diode models for various PV cells and modules. This approach relies on modifying the 2D chaotic Henon map settings to improve HBA’s searching ability. A series of experiments are done utilizing the RTC France cell and SLP080 solar module datasets for the single and double-diode models to validate the performance of the presented technique. It is also compared to other state-of-the-art methods. Furthermore, a variety of statistical and non-parametric tests are used. The findings reveal that the suggested method outperforms competing strategies regarding accuracy, consistency, and convergence rate. Moreover, the primary outcomes clarify the superiority of the proposed modified optimizer in determining accurate parameters that provide a high matching between the estimated and the measured datasets. |
| first_indexed | 2024-04-11T06:08:55Z |
| format | Article |
| id | doaj.art-ab85f149f1a14d9aac3f3cd0b8d3cfea |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-04-11T06:08:55Z |
| publishDate | 2022-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-ab85f149f1a14d9aac3f3cd0b8d3cfea2022-12-22T04:41:24ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2022-12-011010.3389/fenrg.2022.10118871011887Chaotic honey badger algorithm for single and double photovoltaic cell/moduleRolla Almodfer0Mohammed Mudhsh1Samah Alshathri2Dalia Yousri3Laith Abualigah4Laith Abualigah5Laith Abualigah6Laith Abualigah7Osama Farouk Hassan8Mohamed Abd Elaziz9Mohamed Abd Elaziz10Mohamed Abd Elaziz11Mohamed Abd Elaziz12School of Information Engineering, Henan Institute of Science and Technology, Xinxiang, ChinaSchool of Information Engineering, Henan Institute of Science and Technology, Xinxiang, ChinaDepartment of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi ArabiaDepartment of Electrical Engineering, Faculty of Engineering, Fayoum University, Fayoum, EgyptHourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, JordanFaculty of Information Technology, Middle East University, Amman, JordanFaculty of Information Technology, Applied Science Private University, Amman, JordanSchool of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, MalaysiaDepartment of Information System, Faculty of Computers and Informatics, Suez Canal University, Ismailia, EgyptDepartment of Mathematics, Faculty of Science, Zagazig University, Zagazig, Egypt0Faculty of Computer Science and Engineering, Galala University, Suez, Egypt1Artificial Intelligence Research Center (AIRC), Ajman University, Ajman, United Arab Emirates2Department of Electrical and Computer Engineering, Lebanese American University, Byblos, LebanonPV cell/module/characteristic array accuracy is mainly influenced by their circuit elements, based on established circuit characteristics, under varied radiation and temperature operating conditions. As a result, this study provides a modified accessible Honey Badger algorithm (HBA) to identify the trustworthy parameters of diode models for various PV cells and modules. This approach relies on modifying the 2D chaotic Henon map settings to improve HBA’s searching ability. A series of experiments are done utilizing the RTC France cell and SLP080 solar module datasets for the single and double-diode models to validate the performance of the presented technique. It is also compared to other state-of-the-art methods. Furthermore, a variety of statistical and non-parametric tests are used. The findings reveal that the suggested method outperforms competing strategies regarding accuracy, consistency, and convergence rate. Moreover, the primary outcomes clarify the superiority of the proposed modified optimizer in determining accurate parameters that provide a high matching between the estimated and the measured datasets.https://www.frontiersin.org/articles/10.3389/fenrg.2022.1011887/fullPV parameters estimationhoney badger algorithmchaotic Henon mapsingle diode circuitdouble diode circuit PV cellPV characteristics assessment |
| spellingShingle | Rolla Almodfer Mohammed Mudhsh Samah Alshathri Dalia Yousri Laith Abualigah Laith Abualigah Laith Abualigah Laith Abualigah Osama Farouk Hassan Mohamed Abd Elaziz Mohamed Abd Elaziz Mohamed Abd Elaziz Mohamed Abd Elaziz Chaotic honey badger algorithm for single and double photovoltaic cell/module Frontiers in Energy Research PV parameters estimation honey badger algorithm chaotic Henon map single diode circuit double diode circuit PV cell PV characteristics assessment |
| title | Chaotic honey badger algorithm for single and double photovoltaic cell/module |
| title_full | Chaotic honey badger algorithm for single and double photovoltaic cell/module |
| title_fullStr | Chaotic honey badger algorithm for single and double photovoltaic cell/module |
| title_full_unstemmed | Chaotic honey badger algorithm for single and double photovoltaic cell/module |
| title_short | Chaotic honey badger algorithm for single and double photovoltaic cell/module |
| title_sort | chaotic honey badger algorithm for single and double photovoltaic cell module |
| topic | PV parameters estimation honey badger algorithm chaotic Henon map single diode circuit double diode circuit PV cell PV characteristics assessment |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2022.1011887/full |
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