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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

Lyden, S. and Haque, M. E. 2015, A hybrid simulated annealing and perturb and observe method for maximum power point tracking in PV systems under partial shading conditions, in 2015 Australasian Universities Power Engineering Conference: Challenges for Future Grids, AUPEC 2015, IEEE, Piscataway, N.J., doi: 10.1109/AUPEC.2015.7324803.

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Title A hybrid simulated annealing and perturb and observe method for maximum power point tracking in PV systems under partial shading conditions
Author(s) Lyden, S.
Haque, M. E.ORCID iD for Haque, M. E. orcid.org/0000-0002-8893-2181
Conference name Australian Universities Power Engineering. Conference (25th : 2015 : Wollongong, N.S.W.)
Conference location Wollongong, N.S.W.
Conference dates 27-30 Sep. 2015
Title of proceedings 2015 Australasian Universities Power Engineering Conference: Challenges for Future Grids, AUPEC 2015
Publication date 2015
Publisher IEEE
Place of publication Piscataway, N.J.
Summary 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.
ISBN 9781479987252
Language eng
DOI 10.1109/AUPEC.2015.7324803
Field of Research 090602 Control Systems, Robotics and Automation
Socio Economic Objective 850504 Solar-Photovoltaic Energy
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30083017

Document type: Conference Paper
Collection: School of Engineering
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