|Paper title: IMPROVED INCREMENTAL CONDUCTANCE MAXIMUM POWER POINT TRACKING ALGORITHM USING FUZZY LOGIC CONTROLLER FOR PHOTOVOLTAIC SYSTEM
Author(s): HOUSSAM DEBOUCHA, SOFIA LALOUNI BELAID,
The hard nonlinearity of the electrical behavior, current-voltage output of a photovoltaic array considered a big issue in the
designing of maximum power point tracking (MPPT) algorithms, furthermore changing with atmospheric condition temperature and
irradiation. So itís more challenging to control both the time response and the accuracy. The most commonly algorithms
discussed and used in practice are incremental conductance (INC) and perturb and observe (P&O), nevertheless failed to overcome the
drawback of the trade-off between the elimination of oscillation around MPP in the steady state and quickness tracking, chiefly
when sudden sharp environmental change occurs. Thus, this study suggests a revised incremental conductance combined with
fuzzy logic controller (FLC), to enhance the efficiency of the conversion system and perfom it for practical operating conditions.
The INC uses the step size generated from FLC. The performance of the dynamic response and the accuracy have optimized
significantly compared with conventional methods (P&O, INC). Computer simulation has carried out under MATALB/Simulink
environment to demonstrate the performance of the proposed method.
Keywords: Photovoltaic energy, Maximum power point tracking (MPPT), Incremental conductance (INC), Improved INC,
Fuzzy logic controller (FLC)Year: 2017 | Tome: 62 | Issue: 4 | Pp.: 381-387
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