Faculty of Electrical Engineering and Information Technologies

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    Cuckoo Search Algorithm Applied for Maximum Power Point Determination of Bifacial PV Using Different PV Cell Models
    (AEDERMACP (European Association for the Development of Renewable Energies and Power Quality), 2025-07)
    Najdoska, A.
    ;
    Cvetkovski, G.
    This paper proposes an application of a novel nature-inspired algorithm called Cuckoo Search Algorithm (CSA) in the de termination 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.
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    Teaching and learning based optimization algorithm as a tool for maximum power point determination for bifacial PV
    (Wydawnictwo SIGMA-NOT, sp. z.o.o., 2025-03-24)
    NAJDOSKA, Angela
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    Maximum Power Point Determination of Bifacial PV Using Multi-Verse Optimization Algorithm Applied on Different Cell Models
    (Walter de Gruyter GmbH, 2025-01-01)
    Najdoska, Angela
    ;
    In the design process of a photovoltaic (PV) power plant, determination of the maximum power that can be extracted from the PV modules is essential, especially for the dimensioning of the individual parts of the plant. This paper presents the determination of the maximum power point (MPPT) of a bifacial PV system using three different cell models. The optimal power point is determined by using a novel multi-verse optimization (MVO) algorithm as the optimization tool. In this research work the MPPT of bifacial PV modules is determined by using the following three PV cell models: ideal single diode model, real single diode model, and two-diode model of PV cell. These cell models are developed for single-sided PV modules and therefore a proper modification of the models is necessary in order to be applied for the investigated modules. The purpose of this optimization procedure is to determine the maximum power of a bifacial PV module by minimizing the power difference between the calculated power and the experimentally determined power for certain atmospheric conditions.
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    Directional Stockwell transform of distributions
    (2025)
    Ferizi, A.
    ;
    Hadzi-Velkova Saneva, K.