Enhanced Marine Predators Algorithm for identifying static and dynamic Photovoltaic models parameters

Article

Elaziz, Mohamed, Thanikanti, Sudhakar Babu, Ibrahim, Ibrahim Anwar, Lu, Songfeng, Nastasi, Benedetto, Alotaibi, Majed A., Hossain, Md Alamgir and Yousri, Dalia. 2021. "Enhanced Marine Predators Algorithm for identifying static and dynamic Photovoltaic models parameters." Energy Conversion and Management. 236. https://doi.org/10.1016/j.enconman.2021.113971
Article Title

Enhanced Marine Predators Algorithm for identifying static and dynamic Photovoltaic models parameters

ERA Journal ID3474
Article CategoryArticle
AuthorsElaziz, Mohamed, Thanikanti, Sudhakar Babu, Ibrahim, Ibrahim Anwar, Lu, Songfeng, Nastasi, Benedetto, Alotaibi, Majed A., Hossain, Md Alamgir and Yousri, Dalia
Journal TitleEnergy Conversion and Management
Journal Citation236
Article Number113971
Number of Pages15
Year2021
PublisherElsevier
Place of PublicationUnited Kingdom
ISSN0196-8904
1879-2227
Digital Object Identifier (DOI)https://doi.org/10.1016/j.enconman.2021.113971
Web Address (URL)https://www.sciencedirect.com/science/article/pii/S0196890421001473
Abstract

Providing an accurate and precise photovoltaic model is a vital stage prior to the system design, therefore, this paper proposes a novel algorithm, enhanced marine predators algorithm (EMPA), to identify the unknown parameters for different photovoltaic (PV) models including the static PV models (single-diode and double-diode) and dynamic PV model. In the proposed EMPA, the differential evolution operator (DE) is incorporated into the original marine predators algorithm (MPA) to achieve stable, and reliable performance while handling that nonlinear optimization problem of PV modeling. Three different real datasets are used to show the effectiveness of the proposed algorithm. In the first case study, the proposed algorithm is used to identify the unknown parameters of a single-diode and double-diode PV models. The root-mean-square error (RMSE) and standard deviation (STD) values for a single-diode are

KeywordsSolar energy technology ; Marine predator algorithm ; Parameters estimation ; Single diode model ; Two diode model
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 20204008. Electrical engineering
Public Notes

© 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/

Byline AffiliationsZagazig University, Egypt
Chaitanya Bharathi Institute of Technology, India
Macquarie University
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia
Huazhong University of Science and Technology, China
Sapienza University of Rome, Italy
King Saud University, Saudi Arabia
Griffith University
Fayoum University, Egypt
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