Estimation of Solar Photovoltaic Parameters Using Pattern Search Algorithm

Derick, Mathew, Rani, C., Rajesh, M., Busawon, Krishna and Binns, Richard (2017) Estimation of Solar Photovoltaic Parameters Using Pattern Search Algorithm. In: Emerging Trends in Electrical, Electronic and Communications Engineering. Lecture Notes in Electrical Engineering, 416 . Springer, London, pp. 184-191. ISBN 978-3-319-52170-1

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Abstract

The interest towards solar Photovoltaic (PV) based power generation has increased worldwide due to climate change and depletion of fossil fuels. This has led to the need for accurate solar PV modelling under different environmental conditions. Since solar PV shows nonlinear characteristics, optimization technique is the best tool for modelling and estimation of PV parameters. Thus, in this paper, a Pattern Search (PS) algorithm is proposed to optimize the parameters of solar photovoltaic panels. The objective is to identify the parameters of single diode model based PV, in such a way that the difference between PV experimental current and simulated current is minimal. The effectiveness of the algorithms is investigated through simulation in MATLAB/Simulink environment at different solar irradiance and temperature and it is compared with the experimental data of solar module Kyocera – KC200GT 215. Results clearly reveal that the proposed technique shows better results in terms of its accuracy, convergence and CPU execution time.

Item Type:	Book Section
Uncontrolled Keywords:	Modelling, Pattern search, Single diode PV module
Subjects:	H600 Electronic and Electrical Engineering
Department:	Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Related URLs:	Library Catalogue
Depositing User:	Becky Skoyles
Date Deposited:	21 Feb 2017 14:56
Last Modified:	12 Oct 2019 19:21
URI:	http://nrl.northumbria.ac.uk/id/eprint/29818

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