The development of green energy production processes is highly praised due to its advantages in environmental protection and economic growth. Within this framework, this paper analyzes the feasibility of electrical energy production in a grid-connected photovoltaic power system using an advanced sliding mode control (SMC). Our study focused on the implementation of a robust sliding mode control from a nonlinear system to control a photovoltaic system connected to the power grid. In fact, the first goal is achieved by applying an MPPT strategy based on polynomial interpolation technique to maximize the PV power injected to the grid. While the second goal is achieved through nonlinear controls applied for the power inverter using sliding mode control (SMC) and space vector modulation technique (SVM). Simulation results obtained under MATLAB-Simulink environment are validated experimentally with a PV system where the implementation of the control laws was carried out with a dSPACE1104 acquisition and control board. Simulation and practical results confirm the performance of this control strategy under different static and dynamic power flow regimes.

This paper deals with the sliding mode control of photovoltaic pumping system using an indirect field oriented control of the induction motor. The pumping system is composed by a photovoltaic generator, an output DC capacitor, an inverter which supplies an induction motor which drives the shaft of a centrifugal pump. After the modeling of the different components of the pumping system the sliding mode control is choosing to be apply in this work thinks to advantages, which present compared to conventional PI controller. Then an (MPPT) algorithm of the maximum power point tracking is used to determine the speed reference of induction motor from the value of illumination. Finally, simulation and experimental results are presented to show the effectiveness of the proposed control strategies.