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Optimal parameter estimation of three solar cell models using modified spotted hyena optimization

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Abstract

This paper is concerned with identifying the optimal parameters of solar cell by using a modified spotted hyena optimization algorithm (MSHOA). In the MSHOA, the optimization process initializes random search agents then selects the best agents. The MSHOA modifies the original spotted hyena optimization algorithm by using an accelerating function, which improves the performance of reaching the optimal solution. The convergence occurs rapidly and realizes the global optimization with small iterations number. The numerical results obtained with different models emphasize that the MSHOA has the ability and stability to estimate the global optimal decision variables of solar cell module with a minimal root mean square error compared with other algorithms existed in literature. Moreover, three electrical models called single diode model, double diode model and triple diode model TDM are accurate for depicting electrical behavior of PV modules. It is truth to say that TDM is the most accurate model among the three models. The significant agreements between the estimated model using MSHOA, at different operating temperatures and irradiances, and the measured data assert on the effectiveness of the proposed algorithm and the accuracy of PV model. All results emphasize that the MSHOA is an effective and reliable optimization algorithm for finding the optimal parameters of solar cell modules.

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Authors and Affiliations

  1. Department of Computer Science, College of Science and Humanities in Al-Sulail, Prince Sattam Bin Abdulaziz University, Kharj, Saudi Arabia

    Mona Gafar

  2. Machine Learning and Information Retrieval Department, Artificial Intelligence, Kafrelsheikh University, Kafr El Sheikh, Egypt

    Mona Gafar

  3. Electrical Engineering Department, Faculty of Engineering, Kafrelsheikh University, Kafr El Sheikh, Egypt

    Ragab A. El-Sehiemy & Amlak Abaza

  4. Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo, 11517, Egypt

    Hany M. Hasanien

Authors
  1. Mona Gafar
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  2. Ragab A. El-Sehiemy
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  3. Hany M. Hasanien
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  4. Amlak Abaza
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All the authors contributed in formulating the research idea, algorithm design, result analysis, writing and reviewing the research.

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Correspondence to Mona Gafar.

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Gafar, M., El-Sehiemy, R.A., Hasanien, H.M. et al. Optimal parameter estimation of three solar cell models using modified spotted hyena optimization. J Ambient Intell Human Comput 15, 361–372 (2024). https://doi.org/10.1007/s12652-022-03896-9

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  • DOI: https://doi.org/10.1007/s12652-022-03896-9

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