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Maximum Power Point
Extraction in PV Array Under Partial Shading Conditions Using
GWO-Assisted Beta Method
M. V. Rocha, L. P. Sampaio
and S. A. O. da Silva
2018/04/20
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Abstract
This paper presents a hybrid maximum power
point tracking (MPPT) algorithm, which combines the grey wolf optimization
(GWO) technique and Beta method for extraction of maximum power from a
photovoltaic (PV) system operating under partial shading conditions. The
proposed algorithm named GWO-Beta-based MPPT uses the GWO technique to
achieve the global maximum power point (GMPP), while, simultaneously,
the MPPT reference using Beta method is calculated according to the PV
voltage and current at GMPP. After that, the MPPT algorithm is switched
to operate only with the Beta method that keeps tracked on the MPP reference,
guarantying the GMPP in that specific operation point. By means of computational
simulation results, the performance of the proposed MPPT algorithm is
evaluated taking into account the convergence speed and power oscillations
to achieve the GMPP.
| Published in: Renewable Energy
& Power Quality Journal (RE&PQJ, Nº. 16) |
| Pages: 450-455 |
Date of Publication: 2018/04/20 |
| ISSN: 2172-038X |
Date of Current Version:2018/03/23 |
| REF: 346-18 |
Issue Date: April 2018 |
| DOI:10.24084/repqj16.346 |
Publisher: EA4EPQ |
Authors and affiliations
M. V. Rocha, L. P. Sampaio and S. A. O. da Silva
Department of Electrical Engineering. Federal University of Technology
UTFPR-CP, Campus of Cornélio Procópio. (Brazil)
Key words
Grey Wolf Optimization Technique, Maximum Power Point
Tracking, Beta Method, Partial Shading Conditions.
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