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




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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