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https://www.um.edu.mt/library/oar/handle/123456789/98316
Title: | Parameter extraction of photovoltaic module using tunicate swarm algorithm |
Authors: | Sharma, Abhishek Dasgotra, Ankit Tiwari, Sunil Kumar Sharma, Abhinav Jately, Vibhu Azzopardi, Brian |
Keywords: | Photovoltaic cells Electric power systems Renewable energy sources Building-integrated photovoltaic systems Households -- Energy consumption Machine learning Metaheuristics Swarm intelligence |
Issue Date: | 2021 |
Publisher: | MDPI |
Citation: | Sharma, A., Dasgotra, A., Tiwari, S. K., Sharma, A., Jately, V., & Azzopardi, B. (2021). Parameter extraction of photovoltaic module using tunicate swarm algorithm. Electronics, 10(8), 878. |
Abstract: | In the renewable energy sector, the extraction of parameters for solar photovoltaic (PV) cells is a widely studied area of research. Parameter extraction is a non-linear complex optimization problem for solar PV cells. In this research work, the authors have implemented the Tunicate swarm algorithm (TSA) to estimate the optimized value of the unknown parameters of a PV cell/module under standard temperature conditions. The simulation results have been compared with four different, pre-existing optimization algorithms: gravitational search algorithm (GSA), a hybrid of particle swarm optimization and gravitational search algorithm (PSOGSA), sine cosine (SCA), and whale optimization (WOA). The comparison of results broadly demonstrates that the TSA algorithm outperforms the existing optimization algorithms in terms of root mean square error (RMSE) and convergence rate. Furthermore, the statistical results confirm that the TSA algorithm is a better algorithm in terms of average robustness and precision. The Friedman ranking test is also carried out to demonstrate the competency and reliability of the implemented approach. |
URI: | https://www.um.edu.mt/library/oar/handle/123456789/98316 |
Appears in Collections: | Scholarly Works - FacEngSCE |
Files in This Item:
File | Description | Size | Format | |
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Parameter extraction of photovoltaic module using tunicate swarm algorithm.pdf | 1.64 MB | Adobe PDF | View/Open |
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