Simulation and Comparison of Mathematical Models of PV Cells with Growing Levels of Complexity

Godinho Rodrigues, Eduardo Manuel, Godina, Radu, Marzband, Mousa and Pouresmaeil, Edris (2018) Simulation and Comparison of Mathematical Models of PV Cells with Growing Levels of Complexity. Energies, 11 (11). ISSN 1996-1073

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Abstract

The amount of energy generated from a photovoltaic installation depends mainly on two factors—the temperature and solar irradiance. Numerous maximum power point tracking (MPPT) techniques have been developed for photovoltaic systems. The challenge is what method to employ in order to obtain optimum operating points (voltage and current) automatically at the maximum photovoltaic output power in most conditions. This paper is focused on the structural analysis of mathematical models of PV cells with growing levels of complexity. The main objective is to simulate and compare the characteristic current-voltage (I-V) and power-voltage (P-V) curves of equivalent circuits of the ideal PV cell model and, with one and with two diodes, that is, equivalent circuits with five and seven parameters. The contribution of each parameter is analyzed in the particular context of a given model and then generalized through comparison to a more complex model. In this study the numerical simulation of the models is used intensively and extensively. The approach utilized to model the equivalent circuits permits an adequate simulation of the photovoltaic array systems by considering the compromise between the complexity and accuracy. By utilizing the Newton–Raphson method the studied models are then employed through the use of Matlab/Simulink. Finally, this study concludes with an analysis and comparison of the evolution of maximum power observed in the models.

Item Type: Article
Uncontrolled Keywords: photovoltaic cells; maximum power point tracking; sustainable energy; mathematical models; Newton-Raphson
Subjects: H600 Electronic and Electrical Engineering
H800 Chemical, Process and Energy Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Paul Burns
Date Deposited: 25 Oct 2018 13:12
Last Modified: 11 Dec 2018 09:45
URI: http://nrl.northumbria.ac.uk/id/eprint/36436

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