Parameter Extraction of Solar Module Using the Sooty Tern Optimization Algorithm
Photovoltaic module parameter estimation is a critical step in observing, analyzing, and optimizing the efficiency of solar power systems. To find the best value for unknown parameters, an efficient optimization strategy is required. This paper presents the implementation of the sooty tern optimizat...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/11/4/564 |
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| author | Abha Singh Abhishek Sharma Shailendra Rajput Amit Kumar Mondal Amarnath Bose Mangey Ram |
| author_facet | Abha Singh Abhishek Sharma Shailendra Rajput Amit Kumar Mondal Amarnath Bose Mangey Ram |
| author_sort | Abha Singh |
| collection | DOAJ |
| description | Photovoltaic module parameter estimation is a critical step in observing, analyzing, and optimizing the efficiency of solar power systems. To find the best value for unknown parameters, an efficient optimization strategy is required. This paper presents the implementation of the sooty tern optimization (STO) algorithm for parameter assessment of a solar cell/module. The simulation findings were compared to four pre-existing optimization algorithms: sine cosine (SCA) algorithm, gravitational search algorithm (GSA), hybrid particle swarm optimization and gravitational search algorithm (PSOGSA), and whale optimization (WOA). The convergence rate and root mean square error evaluations show that the STO method surpasses the other studied optimization techniques. Additionally, the statistical results show that the STO method is superior in average resilience and accuracy. The superior performance and reliability of the STO method are further validated by the Friedman ranking test. |
| first_indexed | 2024-03-09T22:07:06Z |
| format | Article |
| id | doaj.art-08fa6cad606148469749c908e7b25b82 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T22:07:06Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-08fa6cad606148469749c908e7b25b822023-11-23T19:39:20ZengMDPI AGElectronics2079-92922022-02-0111456410.3390/electronics11040564Parameter Extraction of Solar Module Using the Sooty Tern Optimization AlgorithmAbha Singh0Abhishek Sharma1Shailendra Rajput2Amit Kumar Mondal3Amarnath Bose4Mangey Ram5Department of Basic Science, College of Science and Theoretical Study, Saudi Electronic University, Dammam-Female Branch, Dammam 32242, Saudi ArabiaDepartment of Electrical and Electronic Engineering, Ariel University, Ariel 40700, IsraelDepartment of Electrical and Electronic Engineering, Ariel University, Ariel 40700, IsraelDepartment of Mechatronics Engineering, School of Engineering & Information Technology, Manipal Academy of Higher Education, Dubai 345050, United Arab EmiratesSustainability Cluster, School of Engineering (SOE), University of Petroleum & Energy Studies, Dehradun 248007, IndiaDepartment of Mathematics, Computer Science and Engineering, Graphic Era (Deemed to be University), Dehradun 248002, IndiaPhotovoltaic module parameter estimation is a critical step in observing, analyzing, and optimizing the efficiency of solar power systems. To find the best value for unknown parameters, an efficient optimization strategy is required. This paper presents the implementation of the sooty tern optimization (STO) algorithm for parameter assessment of a solar cell/module. The simulation findings were compared to four pre-existing optimization algorithms: sine cosine (SCA) algorithm, gravitational search algorithm (GSA), hybrid particle swarm optimization and gravitational search algorithm (PSOGSA), and whale optimization (WOA). The convergence rate and root mean square error evaluations show that the STO method surpasses the other studied optimization techniques. Additionally, the statistical results show that the STO method is superior in average resilience and accuracy. The superior performance and reliability of the STO method are further validated by the Friedman ranking test.https://www.mdpi.com/2079-9292/11/4/564parameter identificationsooty tern optimizationenergy harvestingarithmetic optimization |
| spellingShingle | Abha Singh Abhishek Sharma Shailendra Rajput Amit Kumar Mondal Amarnath Bose Mangey Ram Parameter Extraction of Solar Module Using the Sooty Tern Optimization Algorithm Electronics parameter identification sooty tern optimization energy harvesting arithmetic optimization |
| title | Parameter Extraction of Solar Module Using the Sooty Tern Optimization Algorithm |
| title_full | Parameter Extraction of Solar Module Using the Sooty Tern Optimization Algorithm |
| title_fullStr | Parameter Extraction of Solar Module Using the Sooty Tern Optimization Algorithm |
| title_full_unstemmed | Parameter Extraction of Solar Module Using the Sooty Tern Optimization Algorithm |
| title_short | Parameter Extraction of Solar Module Using the Sooty Tern Optimization Algorithm |
| title_sort | parameter extraction of solar module using the sooty tern optimization algorithm |
| topic | parameter identification sooty tern optimization energy harvesting arithmetic optimization |
| url | https://www.mdpi.com/2079-9292/11/4/564 |
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