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Applied Science Private University

Volume Volume 18, 2024 · Issue 1 · Open Access · Double-blind Peer-review

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Hypothesis

Parameter estimation of the STM6-40/36 photovoltaic module using hybrid atom search particle swarm optimization

Davut Izci1, Erdal Eker2 & Serdar Ekinci1

1 Department of Computer Engineering, Batman University, Batman, 72100, Turkey.

2 Vocational School of Social Sciences, Muş Alparslan University, Muş, 49250, Turkey.

* Corresponding author: Davut Izci ([email protected])

Published: 30 Jun 2024

https://doi.org/10.35192/jjoas-n.v18i1.1825
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Abstract

Background: One of the most promising solutions suggested to meet the growing global demand for renewable energy is the efficient utilization of photovoltaic (PV) systems. Metaheuristic algorithms are frequently chosen over other approaches in the literature for parameter assessment of PV cells and modules due to their reliability and speed.

Methods: For parameter determination of the STM6-40/36 PV module, this study proposes the h-ASPSO algorithm, a hybrid of particle swarm optimization (PSO) and atom search optimization (ASO) methods.

Results: After several rounds of optimization using h-ASPSO, the root mean square error (RMSE) for the objective function was found to be 0.0017298. The strength and promise of h-ASPSO in identifying unknown PV model parameters are validated by the excellent agreement between the predicted and observed current and power measurements. Additionally, five metaheuristic algorithms from the literature were compared to h-ASPSO's statistical performance, confirming the superiority of the proposed method.

Conclusion and Implications: The research highlights h-ASPSO's potential as a reliable optimization tool, contributing to the advancement of renewable energy technologies and their integration into the energy landscape.

KeywordsAtom search optimizationParticle swarm optimizationHybridizationSolar energyPhotovoltaic parameter extraction

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This work is licensed under a Creative Commons Attribution 4.0 International license

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