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Low cost MPPT controller for a photovoltaic-based microgrid

Seyedmahmoudian,M, Oo,A, Vinayagam,A, Shafiullah,GM and Stojcevski,A 2014, Low cost MPPT controller for a photovoltaic-based microgrid, in Proceedings of the 24th Australasian Universities Power Engineering Conference: Smart Power for Everyone; AUPEC 2014, IEEE, [ Perth, WA ], pp. 1-6, doi: 10.1109/AUPEC.2014.6966567.

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Title Low cost MPPT controller for a photovoltaic-based microgrid
Author(s) Seyedmahmoudian,M
Oo,A
Vinayagam,A
Shafiullah,GM
Stojcevski,A
Conference name AUPEC Conference (24th : 2014: Perth, WA)
Conference location Perth, Australia
Conference dates 2014/9/28 - 2014/10/1
Title of proceedings Proceedings of the 24th Australasian Universities Power Engineering Conference: Smart Power for Everyone; AUPEC 2014
Editor(s) Abu-Siada,A
Masoum,MAS
Publication date 2014
Start page 1
End page 6
Total pages 6
Publisher IEEE
Place of publication [ Perth, WA ]
Keyword(s) Photovoltaic Microgrid
Maximum Power point Tracking
Meta-heuristic Optimization
Low cost PV configuration
Summary  Photovoltaic based microgrid have been increasingly investigated in recent years, ascribable to their fundamental advantages such as the infinite energy source, environmentally friendly aspect and low upkeep cost. However, in practice, they are still considered as an expensive and low output option of renewable energy resources. To extract the maximum possible power from the output of the PV system, a reliable maximum power point tracker (MPPT) is required. Numerous studies have been conducted to introduce the best MPPT techniques suitable for different types of PV systems. However, they are mostly able to track the MPP from the PV system when the output signals (Voltage and Current) of individual array are available. In this study, a meta-heuristic method, based on particle swarm optimization theory, is used to determine the actual MPP of PV system, including several PV arrays, by only single current sensor at the output terminal. The results of the proposed PSO based technique, for tracking the global MPP in a multidimensional search space, have been presented at the end of this paper.
ISBN 9780646923758
Language eng
DOI 10.1109/AUPEC.2014.6966567
Field of Research 090607 Power and Energy Systems Engineering (excl Renewable Power)
Socio Economic Objective 850599 Renewable Energy not elsewhere classified
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2014, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30071908

Document type: Conference Paper
Collection: School of Engineering
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