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A hybrid simulated annealing and perturb and observe method for maximum power point tracking in PV systems under partial shading conditions
Citation
Lyden, S and Haque, ME, A hybrid simulated annealing and perturb and observe method for maximum power point tracking in PV systems under partial shading conditions, 2015 Australasian Universities Power Engineering Conference (AUPEC) Proceedings, 27-30 September, Wollongong, NSW, pp. 1-6. ISBN 9781479987252 (2015) [Refereed Conference Paper]
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Copyright Statement
Copyright 2015 IEEE
DOI: doi:10.1109/AUPEC.2015.7324803
Abstract
Abstract—This paper presents a hybrid method for Maximum
Power Point Tracking (MPPT) of a Photovoltaic (PV) system
which experiences non-uniform environmental conditions or
partial shading conditions. The hybrid method combines two
simple techniques with complementary strengths in achieving
Global MPPT. Simulated Annealing (SA) has only recently
been applied to PV MPPT and is very effective at locating
global maxima with limited implementation complexity.
Perturb and Observe (P&O) is a very common technique
which provides continuous tracking of the MPP in a simple
and easy to implement manner. The P&O method is generally
incapable of locating global maxima, and the SA based
method is unable to perform continuous searching. By
merging these techniques in a hybrid MPPT method
consisting of a global searching stage and a local searching
stage, the tracking performance is improved compared to
what each technique could achieve independently. Simulation
results are presented to demonstrate the effectiveness of the
proposed hybrid technique.
Item Details
Item Type: | Refereed Conference Paper |
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Keywords: | maximum power point tracking, photovoltaic, simualted annealing |
Research Division: | Engineering |
Research Group: | Electronics, sensors and digital hardware |
Research Field: | Photovoltaic devices (solar cells) |
Objective Division: | Energy |
Objective Group: | Renewable energy |
Objective Field: | Solar-photovoltaic energy |
UTAS Author: | Lyden, S (Dr Sarah Lyden) |
ID Code: | 107214 |
Year Published: | 2015 |
Deposited By: | Engineering |
Deposited On: | 2016-03-08 |
Last Modified: | 2017-11-06 |
Downloads: | 214 View Download Statistics |
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