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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A maximum power point tracking for photovoltaic systems based on Monod equation

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Camilo, Jones C. [1] ; Guedes, Tatiana [2] ; Fernandes, Darlan A. [2] ; Melo, J. D. [1] ; Costa, F. F. [3] ; Sguarezi Filho, Alfeu J. [1]
Total Authors: 6
[1] Univ Fed ABC UFABC, Santo Andre - Brazil
[2] Univ Fed Paraiba UFPB, Joao Pessoa, Paraiba - Brazil
[3] Univ Fed Bahia UFBA, Salvador, BA - Brazil
Total Affiliations: 3
Document type: Journal article
Source: RENEWABLE ENERGY; v. 130, p. 428-438, JAN 2019.
Web of Science Citations: 4

This paper presents a maximum power point tracking (MPPT) algorithm based on the Monod equation for photovoltaic (PV) systems with DC regulation. This equation is applied to estimate the power output for each current output of PV generator. The proposed MPPT permits to quickly estimate the required duty-cycle by the step-up converter that is associated with the provided maximum power from the generator. The new MPPT algorithm has a lower implementation complexity and with a lower computational effort, which is important to implement using less expensive controllers and low cost processor. The proposed algorithm is tested in a PV system composed by solar module that emulates of PV generator and which the input voltage is regulated by a push-pull converter, supplying a DC load. The experimental results demonstrate that use of the Monad equation improves the dynamics of the PV system and find the maximum value of power for conditions of low irradiance unlike other methodologies. (C) 2018 Elsevier Ltd. All rights reserved. (AU)

FAPESP's process: 17/22577-9 - Geographical information systems as a tool to assist the electricity distribution networks planning
Grantee:Joel David Melo Trujillo
Support type: Regular Research Grants
FAPESP's process: 17/04623-3 - Predictive control applied to the input converter for photovoltaic systems
Grantee:Alfeu Joãozinho Sguarezi Filho
Support type: Regular Research Grants