Maximum Power Point Determination of Bifacial PV Using Multi-Verse Optimization Algorithm Applied on Different Cell Models
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 bifa...
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| Format: | Article |
| Language: | English |
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Sciendo
2025-03-01
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| Series: | Power Electronics and Drives |
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| Online Access: | https://doi.org/10.2478/pead-2025-0007 |
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| author | Najdoska Angela Cvetkovski Goga |
| author_facet | Najdoska Angela Cvetkovski Goga |
| author_sort | Najdoska Angela |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-4336edd2250144fdb33a77f8f586b565 |
| institution | Kabale University |
| issn | 2543-4292 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Power Electronics and Drives |
| spelling | doaj-art-4336edd2250144fdb33a77f8f586b5652025-08-25T06:12:05ZengSciendoPower Electronics and Drives2543-42922025-03-0110111012410.2478/pead-2025-0007Maximum Power Point Determination of Bifacial PV Using Multi-Verse Optimization Algorithm Applied on Different Cell ModelsNajdoska Angela0Cvetkovski Goga1Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University, Department of Electrical Machines, Transformers and Apparatuses, Rudjer Boskovic 18, P. O. Box 574, 1000Skopje, North MacedoniaFaculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University, Department of Electrical Machines, Transformers and Apparatuses, Rudjer Boskovic 18, P. O. Box 574, 1000Skopje, North MacedoniaIn 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.https://doi.org/10.2478/pead-2025-0007pv cellbifacial modulemulti-verse optimization algorithmmaximum power pointpv cell equivalent circuit |
| spellingShingle | Najdoska Angela Cvetkovski Goga Maximum Power Point Determination of Bifacial PV Using Multi-Verse Optimization Algorithm Applied on Different Cell Models Power Electronics and Drives pv cell bifacial module multi-verse optimization algorithm maximum power point pv cell equivalent circuit |
| title | Maximum Power Point Determination of Bifacial PV Using Multi-Verse Optimization Algorithm Applied on Different Cell Models |
| title_full | Maximum Power Point Determination of Bifacial PV Using Multi-Verse Optimization Algorithm Applied on Different Cell Models |
| title_fullStr | Maximum Power Point Determination of Bifacial PV Using Multi-Verse Optimization Algorithm Applied on Different Cell Models |
| title_full_unstemmed | Maximum Power Point Determination of Bifacial PV Using Multi-Verse Optimization Algorithm Applied on Different Cell Models |
| title_short | Maximum Power Point Determination of Bifacial PV Using Multi-Verse Optimization Algorithm Applied on Different Cell Models |
| title_sort | maximum power point determination of bifacial pv using multi verse optimization algorithm applied on different cell models |
| topic | pv cell bifacial module multi-verse optimization algorithm maximum power point pv cell equivalent circuit |
| url | https://doi.org/10.2478/pead-2025-0007 |
| work_keys_str_mv | AT najdoskaangela maximumpowerpointdeterminationofbifacialpvusingmultiverseoptimizationalgorithmappliedondifferentcellmodels AT cvetkovskigoga maximumpowerpointdeterminationofbifacialpvusingmultiverseoptimizationalgorithmappliedondifferentcellmodels |