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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.
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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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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
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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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Optimization of Grid‐Connected PV/Wind/Battery Microgrid Using Genetic Algorithm
(2022-05)
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Flexibility Assessment of the Macedonian Power System: A High-Level Screening Method for the Future Flexibility Needs
(The 8th International Symposium on Applied Electromagnetics, SAEM'2022, Struga, N. Macedonia, 26-29 june 2022, 2022-06)
S. Malcheski
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S. Kuzarevski
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Analysing the Impact of Plug-In Hybrid Electric Vehicles in Low-Voltage Distribution Systems Using a Non-Determinstic Approach
(The 8th International Symposium on Applied Electromagnetics, SAEM'2022, Struga, N. Macedonia, 26-29 june 2022, 2022-06)
E. Smilkoska
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V.Zdraveski
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Optimal Power Injection Placement in Radial Distribution Systems Using Clustering Optimisation
(The 8th International Symposium on Applied Electromagnetics, SAEM'2022, Struga, N. Macedonia, 26-29 june 2022, 2022-06)
A. Popova,
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Implementation of Renewable Energy Source at Large Consumers, a Case Study
(60th International Scientific Conference on Information, Communication and Energy Systems and Technologies, Ohrid, N. Macedonia, June 26-28, 2025", 2025-06)
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V.Zdraveski
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The Impact of Plug-In Hybrid Vehicles in Low-Voltage Distribution Systems Using a Monte Carlo Simulation
(Journal of Energy Technology, JET Volume 16, Issue 1, p.p. 11-22, june 2023, 2023-06)
E. Smilkoska, V. Zdraveski, J. Vuletić, J. Angelov, M. Todorovski
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Optimal Dispersed Generation Placement in Radial Distribution Systems Using a Pattern of Load Flow Procedure – Clustering Optimisation
(Journal of Energy Technology, JET Volume 16, Issue 2, p.p. 23-46, september 2023, 2023-09)
A. Popova, J. Vuletić, J. Angelov, M. Todorovski
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Assessment of the Future Flexibility Needs of the Macedonian Power System
(Journal of Electrical Engineering and Information Technologies, Vol. 8, No. 2, pp 69–82 (2023), 2023-09)
S. Malčeski, S. Kuzarevski, J. Vuletić, J. Angelov, M. Todorovski

Faculty of Electrical Engineering and Information Technologies

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