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Article type: Research Article
Authors: Thangamuthu, Logeswarana; * | Albert, Johny Renoaldb | Chinnanan, Kalaivananc | Gnanavel, Banud
Affiliations: [a] Department of EEE, Kongu Engineering College, Perundurai, Tamilnadu, India | [b] Department of EEE, Erode Sengunthar Engineering College, Erode, Tamilnadu, India | [c] Department of EEE, Sona PERT R&D Centre, Sona College of Technology, Salem, Tamilnadu, India | [d] Department of EEE, VSB College of Engineering Technical Campus, Coimbatore, Tamilnadu, India
Correspondence: [*] Corresponding author. Logeswaran Thangamuthu, Department of EEE, Kongu Engineering College, Perundurai, Tamilnadu, India. E-mail: [email protected].
Abstract: To minimize real-time errors in a Photovoltaic (PV) system performances must be forecasted through precise simulation design before continuing into a practical application. However, due to the scarcity of data in datasheets and the inherent transcendental connections are between PV current and PV voltage, to determining the Single Diode Model (SDM) parameters becomes a more challenging problems. This paper offers a simulated study of a SDM and Double Diode Model (DDM) solar PV system under various irradiation represents, and the performance was developed by incorporating an optimization-based Maximum Power Point (MPP) tracking techniques. According to the present simulation presented in this article, a mathematical model for a SDM/DDM as well as optimization methodologies has been estimated MATLAB platform. The present MPP circuit model designed and compared with BAT optimization algorithms. The nonlinear relationship between Voltage (V) - Current (I) and Voltage (V) –Power (W) acknowledged as characteristic curves for different temperature (∘c) and irradiance (W/m2) values are verified in numerical simulation results. MPP tracking power and efficiency are examined for maximum power (Pmax) to test the optimization based system. The simulation results show that the BAT optimization model was achieved the highest tracking efficiency better than other heuristic algorithms.
Keywords: Photovoltaic, maximum power point, BAT Optimization, firefly algorithm, solar irradiations
DOI: 10.3233/JIFS-213241
Journal: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 1, pp. 1091-1102, 2022
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