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Improved strategy of an MPPT based on the sliding mode control for a PV system

Abderrahim Taouni, Touati Abdelwahed, Radouane Majdoul

2020International Journal of Electrical and Computer Engineering (IJECE)25 citationsDOIOpen Access PDF

Abstract

The energy produced using a photovoltaic (PV) is mainly dependent on weather factors such as temperature and solar radiation. Given the high cost and low yield of a PV system, it must operate at maximum power point (MPP), which varies according to changes in load and weather conditions. This contribution presents an improved maximum power point tracking (MPPT) controllers of a PV system in various climatic conditions. The first is a sliding mode MPPT that designed to be applied to a buck converter in order to achieve an optimal PV array output voltage. The second MPPT is based on the incremental conductance algorithm or Perturb-and-Observe algorithm. It provides the output reference PV voltage to the sliding mode controller acting on the duty cycle of the DC-DC converter. Simulation is carried out in SimPower toolbox of Matlab/Simulink. Simulation results confirm the effectiveness of the sliding mode control MPPT under the parameter variation environments and shown that the controllers meet its objectives.

Topics & Concepts

Maximum power point trackingPhotovoltaic systemDuty cycleControl theory (sociology)Maximum power principleComputer scienceController (irrigation)Sliding mode controlMATLABBuck converterBoost converterVoltageEngineeringNonlinear systemControl (management)PhysicsInverterBiologyElectrical engineeringArtificial intelligenceAgronomyOperating systemQuantum mechanicsPhotovoltaic System Optimization TechniquesAdvanced DC-DC ConvertersMicrogrid Control and Optimization
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