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Efficient photovoltaic system maximum power point tracking using a new technique

Seyedmahmoudian, Mehdi, Horan, Ben, Rahmani, Rasoul, Maung Than Oo, Aman and Stojcevski, Alex 2016, Efficient photovoltaic system maximum power point tracking using a new technique, Energies, vol. 9, no. 3, Special issue : Solar photovoltaics trilemma: efficiency, stability and cost reduction, pp. 1-18, doi: 10.3390/en9030147.

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Title Efficient photovoltaic system maximum power point tracking using a new technique
Author(s) Seyedmahmoudian, Mehdi
Horan, BenORCID iD for Horan, Ben orcid.org/0000-0002-6723-259X
Rahmani, Rasoul
Maung Than Oo, Aman
Stojcevski, Alex
Journal name Energies
Volume number 9
Issue number 3
Season Special issue : Solar photovoltaics trilemma: efficiency, stability and cost reduction
Start page 1
End page 18
Total pages 18
Publisher MDPI AG
Place of publication Basel, Switzerland
Publication date 2016-03-02
ISSN 1996-1073
Keyword(s) photovoltaic systems
maximum power point tracking
partial shading conditions
soft computing methods
energy efficiency
stability
computational cost
Summary Partial shading is an unavoidable condition which significantly reduces the efficiency and stability of a photovoltaic (PV) system. When partial shading occurs the system has multiple-peak output power characteristics. In order to track the global maximum power point (GMPP) within an appropriate period a reliable technique is required. Conventional techniques such as hill climbing and perturbation and observation (P&O) are inadequate in tracking the GMPP subject to this condition resulting in a dramatic reduction in the efficiency of the PV system. Recent artificial intelligence methods have been proposed, however they have a higher computational cost, slower processing time and increased oscillations which results in further instability at the output of the PV system. This paper proposes a fast and efficient technique based on Radial Movement Optimization (RMO) for detecting the GMPP under partial shading conditions. The paper begins with a brief description of the behavior of PV systems under partial shading conditions followed by the introduction of the new RMO-based technique for GMPP tracking. Finally, results are presented to demonstration the performance of the proposed technique under different partial shading conditions. The results are compared with those of the PSO method, one of the most widely used methods in the literature. Four factors, namely convergence speed, efficiency (power loss reduction), stability (oscillation reduction) and computational cost, are considered in the comparison with the PSO technique.
Language eng
DOI 10.3390/en9030147
Field of Research 090602 Control Systems, Robotics and Automation
090603 Industrial Electronics
090608 Renewable Power and Energy Systems Engineering (excl Solar Cells)
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, The Authors
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30083526

Document type: Journal Article
Collections: School of Engineering
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.