425-25

Cuckoo Search Algorithm Applied for Maximum Power Point Determination of Bifacial PV Using Different PV Cell Models

A. Najdoska, G. Cvetkovski

Faculty of Electrical Engineering and Information Technologies. Ss. Cyril and Methodius University. Rugjer Bošković 18, 1000 Skopje (North Macedonia)

2025-07-25

This paper proposes an application of a novel nature-inspired algorithm called Cuckoo Search Algorithm (CSA) in the determination of the maximum power point in a bifacial photovoltaic (PV). The optimisation algorithm mimics the behaviour of the cuckoo birds, especially their very strange reproduction strategy. The Cuckoo Search in general is a minimisation search algorithm and suits fine with the objective function of this investigation, which is the absolute value of the power difference of the calculated and catalogue value for given metrological conditions. For the calculated output power three different photovoltaic cell presentations are used: ideal single, real single-diode and double-diode PV cell presentation. The determination of the maximum power point is performed using the different photovoltaic cell circuits and for different solar irradiation at constant temperature. The aim of this work is to compare the results gained using the three PV cell models using the cuckoo search optimisation algorithm.

Key words: Bifacial photovoltaic, ideal single-diode PV cell model, real single-diode model, double-diode model, cuckoo search algorithm.

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