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An online optimum voltage estimation and real‐time MPP tracking for a PV system
Author(s) -
Farhat Maissa,
Barambones Oscar,
Sbita Lassâad
Publication year - 2017
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.2791
Subject(s) - maximum power point tracking , photovoltaic system , control theory (sociology) , controller (irrigation) , maximum power principle , dspace , voltage , boost converter , power (physics) , computer science , generator (circuit theory) , estimator , engineering , algorithm , mathematics , control (management) , electrical engineering , inverter , agronomy , statistics , physics , quantum mechanics , artificial intelligence , biology
Summary In this paper, a photovoltaic system topology incorporating a new maximum power point tracking (MPPT) controller method is presented. This method uses an autotuning estimator and a PI controller to make the system work in the maximum power point. The controller is formulated based on the bijectivity in the photovoltaic generator characteristic; therefore, if the optimal voltage is reached, this means that the maximum of power is obtained. The proposed MPPT algorithm is implemented on a dSpace DS1104 controller board. In order to demonstrate the efficiency of the proposed algorithm in real time, an experimental setup using a boost converter connected to a resistive load is successfully implemented and studied. The obtained experimental results prove the validity of the proposed MPPT algorithm.