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Maximum power point tracking of partial shaded photovoltaic array using an evolutionary algorithm: a particle swarm optimization technique

Seyedmahmoudian,M, Mekhilef,S, Rahmani,R, Yusof,R and Asghar Shojaei,A 2014, Maximum power point tracking of partial shaded photovoltaic array using an evolutionary algorithm: a particle swarm optimization technique, Journal of renewable and sustainable energy, vol. 6, no. 2, pp. 1-13, doi: 10.1063/1.4868025.

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Title Maximum power point tracking of partial shaded photovoltaic array using an evolutionary algorithm: a particle swarm optimization technique
Author(s) Seyedmahmoudian,M
Mekhilef,S
Rahmani,R
Yusof,R
Asghar Shojaei,A
Journal name Journal of renewable and sustainable energy
Volume number 6
Issue number 2
Start page 1
End page 13
Total pages 13
Publisher AIP Publishing
Place of publication College Park, MD
Publication date 2014-03
ISSN 1941-7012
Summary  Partial shading is one of the unavoidable complications in the field of solar power generation. Although the most common approach in increasing a photovoltaic (PV) array’s efficiency has always been to introduce a bypass diode to the said array, this poses another problem in the form of multi-peaks curves whenever the modules are partially shaded. To further complicate matters, most conventional Maximum Power Point Tracking methods develop errors under certain circumstances (for example, they detect the local Maximum Power Point (MPP) instead of the global MPP) and reduce the efficiency of PV systems even further. Presently, much research has been undertaken to improve upon them. This study aims to employ an evolutionary algorithm technique, also known as particle swarm optimization, in MPP detection. VC 2014 Author(s).
Language eng
DOI 10.1063/1.4868025
Indigenous content off
Field of Research 090608 Renewable Power and Energy Systems Engineering (excl Solar Cells)
Socio Economic Objective 850504 Solar-Photovoltaic Energy
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2014, the authors
Free to Read? Yes
Free to Read Start Date 2015-04-01
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30071856

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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.