MPPT Control for Photovoltaic System using hybrid method under variant weather condition

In this paper, the maximum power point tracking (MPPT) command used is a combination of two efficient and robust controls the PV generator is associated with a neuron network-based control (ANN) to determine the voltage at which the power of the system PV is maximum (Vref). The second command is the integral sliding mode control (ISMC), it takes the voltage generated by the first command as reference and tries to reduce the error between the Vref and the voltage of the panel. The hybrid control used allows the system to generate the maximum power by sending the exact duty cycle corresponding to the DC-DC converter. The studied system consists of a photovoltaic generator, DC-DC converter (BOOST) and a resistive load. This approach has very good accuracy (low tracking error) and rapid response to varying atmospheric conditions. To examine the effectiveness of the proposed hybrid control in terms of performance, tracking speed and tracking accuracy, the method is compared with the sliding mode, the system is developed in the Matlab Simulink environment.