Modeling and Optimization of a Standalone Photovoltaic System supplying an alternative Load

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In this thesis, two efficient control strategies are proposed to optimize the performances of a single-phase double stage standalone Photovoltaic (PV) system. The first controller allows tracking instantly the maximum power point (MPP) of the PV module regarding any sudden change of atmospheric conditions. Furthermore, the second control strategy consists of forcing the output current of the inverter to follow a generated reference. Thanks to its advantages, Both control strategies are based on the sliding mode approach due to its accuracy and robustness under external perturbations. Accordingly, the developed controllers require the availability of a highquality database that describes the standalone PV system behavior under the different variations of climate condition. To deal with this concern, a MATLAB simulation is developed to elaborate a trusted standalone PV system. This latter requires the use of a PV module to supply two converters in order to feed a resistive load with an alternative current. The PV panel modelling necessitates the use of the electrical parameters of the equivalent-circuit model. For this, an efficient and simple strategy based on the shunt resistance measure and the datasheet manufacturer is developed to extract the single-diode model (SDM) parameters. Finally, the SDM identified parameters are implemented in the PV module to build the standalone PV system. The efficiency of the developed controllers is assessed by simulation under different climate variations.

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