Abstract
An efficient parameter estimation technique is presented in this paper for photovoltaic (PV) module/cell. The necessary parameters of PV module/cell are missed from manufacturer data sheet for achieving the system modelling. Therefore, parameter extraction of PV solar cell/module is of paramount significance for accurate modelling. A robust parameter estimation technique is required to estimate the unknown parameters of the system PV module/cell. A new Harris hawk optimizer (HHO) algorithm is considered to obtain the model parameters of PV systems. The employed HHO algorithm has the advantages of global search capability, high convergence speed and high efficiency over the classical method. In order to prove the effectiveness of HHO algorithm, it is applied to optimize the various models parameters of PV module/cell. The model considering optimized parameters is tested through experimental data under various weather situations and found matching precisely with measured values. The calculated results prove the superiority of the proposed scheme in solving the studied optimization problem. Lowest amount of error is achieved for both current-voltage (I-V) and power-voltage (P-V) characteristics.
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Chaib, L., Choucha, A., Tadj, M., Khemili, F.Z. (2023). Application of New Optimization Algorithm for Parameters Estimation in Photovoltaic Modules. In: Hatti, M. (eds) Advanced Computational Techniques for Renewable Energy Systems. IC-AIRES 2022. Lecture Notes in Networks and Systems, vol 591. Springer, Cham. https://doi.org/10.1007/978-3-031-21216-1_80
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DOI: https://doi.org/10.1007/978-3-031-21216-1_80
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