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Abstract.In this paper, a maximum power point tracker method using sliding mode control for a photovoltaic system is presented. The system includes a photovoltaic array, a DC/DC converter and a DC/AC inverter connected to a load. The designed control regulates the converter output voltage and it maximizes the power generated by the photovoltaic array. To obtain it, the sliding surface used to control the DC/DC converter is adjusted according to PV array output power. The control law designed and the results in a simulation platform will be presented.

Abstract.The non-quality phenomena of the supply voltage in electrical power systems include transient disturbances as frequency variations, sags, swells, flicker or interruptions. In this work, a method to detect and measure some transient disturbances based on Artificial Neural networks (ANNs) will be presented. A Feedforward network has been trained to detect the initial time, the final time and the magnitude of a voltage disturbance. The design and training process of an ANN specialized in voltage sags detection will be presented. The performance of the designed measure method will be tested in a simulation platform designed in Matlab/Simulink through the analysis of a practical case.