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Modelling and parameter estimation of photovoltaic cell

Citation

Lyden, S and Haque, ME and Gargoom, A and Negnevitsky, M and Muoka, PI, Modelling and parameter estimation of photovoltaic cell, Proceedings of the 2012 Australasian Universities Power Engineering Conference, 26-29 September, Bali, Indonesia, pp. 1-6. (2012) [Refereed Conference Paper]

Copyright Statement

Copyright 2012 Institut Teknologi Sepuluh Nopember (ITS), Surabaya, Indonesia.

Official URL: http://ieeexplore.ieee.org/xpl/conferences.jsp

Abstract

Accurate models of photovoltaic (PV) cell characteristics are essential to enable the operation of PV cells to be understood and optimized for operation under variable environmental conditions. Various models have been proposed in the literature, which use diodes and resistors to represent PV cell characteristics. A key concern with these models is that individual parameters such as resistances, diode ideality factors and saturation currents need to be accurately determined to enable successful modelling. Additionally, operational constraints such as irradiance, temperature, partial shading and cell degradation affect the PV cell characteristics. This paper explores some key issues involved in modelling PV cells with a focus on parameter estimation techniques and the effect of environmental conditions. Parameter estimation techniques proposed in the literature are explored and compared regarding their suitability in modelling a commercial PV array.

Item Details

Item Type:Refereed Conference Paper
Keywords:modelling, photovoltaic, parameter estimation,
Research Division:Engineering
Research Group:Electrical and Electronic Engineering
Research Field:Renewable Power and Energy Systems Engineering (excl. Solar Cells)
Objective Division:Energy
Objective Group:Mining and Extraction of Energy Resources
Objective Field:Mining and Extraction of Energy Resources not elsewhere classified
Author:Lyden, S (Miss Sarah Lyden)
Author:Haque, ME (Dr Md Enamul Haque)
Author:Gargoom, A (Dr Ameen Gargoom)
Author:Negnevitsky, M (Professor Michael Negnevitsky)
Author:Muoka, PI (Mr Polycarp Muoka)
ID Code:82744
Year Published:2012
Deposited By:Engineering
Deposited On:2013-02-15
Last Modified:2013-11-21
Downloads:1 View Download Statistics

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