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Most photovoltaic (PV) systems can supply continuous energy by using storage applications. Generally, the battery is employed for finishing this aim. The expense of the battery occupies a large part in the whole PV system. However, the constant variations of both photovoltaic panel power product and load power demand reduce the life of the battery. At the same time, for providing several large burst power demands generated by the motor based application startup, the sizing of battery should be enlarged. Both of them increase the cost of the PV system. Therefore, supercapacitor is integrated into this system. With a reasonable energy control strategy among the PV panel, supercapacitor and battery, the battery’s life could be prolonged and its size can be reduced. A PV system with hybrid storage applications is established in the Matlab/Simulink. Two different loads and weather situations are used to prove the efficiency of this control strategy.

This paper deals with a modeling approach of an embarked electrical network. This network is composed of a synchronous generator feeding linear and non linear load. In order to simplify the identification of inaccessible part of the generator, a specific modeling approach of the machine is established. Thus, the rotor is modeled by generalized transfer functions. Its order is chosen to have the desired accuracy and short computation time. Transfer function parameters can be easily identified by SSFR (StandStill Frequency Response) identification method. The generated model takes into account the strong interaction between all network components and variable topology of the non linear load. Some time domain simulation results are given in the end of the paper and illustrate the efficiency of this modeling approach.

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This paper discusses the modeling of a directdriven wind energy conversion system with a synchronous generator, a diode rectifier, a boost converter and the resistor and capacitor load. In the paper, a way to establish a real time model of the system is described, a real time model of the system is established, and the dynamic results are shown. The static simulation results and the dynamic simulation results of the system with four different generators are compared and analyzed, and the simplest model is taken.