The work presented in this paper deals with an AC model of wind turbine system conversion to a DC model with reduced simulation time, for possible integration to optimization software with larges scales permitting a multi-objective optimization, such as the constrained optimization conjointly of the cost and power losses of the wind turbine energy system. The DC model is based on average calculation of the DC voltage recharging the battery energy accumulator used for recovering the converted wind energy and the electromagnetic torque. Indeed, classical model of wind turbine using generally electric generator associated to a PD3 rectifier to convert the alternative energy on DC energy recoverable on battery energy accumulator with need a large simulation time and thereafter it is non integrable to optimization software for multi-objective optimization problem resolution. The two models are implemented under Matlab-Simulink simulation environment. Simulation results valid entirely the wind turbine system DC model. Finally, as perspective it is interesting to use a booster chopper as an interface between the rectifier and the battery to optimize the recovered energy. An average model of the booster chopper can be integrated into the DC model for performance improvement of the conversion chain.

In this paper is presented a methodology of design and control of an electromagnet braking system dedicated to the protection of the wind energy production systems against the strong rise of the current in the power chain attached to the strong elevation of the wind speed. This methodology focuses on the dimensioning of the electromagnet acting as a mechanical brake and its integration into the wind energy generation system. The electromagnet is designed jointly by the analytical method offering the advantages of compatibility with large-scale optimization approaches and the finite element method for verifying and increasing the accuracy of the analytical model. This study essentially involves the design and modeling phase of the electromagnet dissociated from the wind turbine and then by the phase of its integration with the wind turbine. The global model associating the electromagnet and the wind turbine controlled with a view to ensuring a continuous recharging of energy accumulator at a constant current equal to the nominal current of which the wind turbine is sized, is implanted under the Matlab-Simulink simulation environment. The results of simulations are encouraging and open the research trail to optimization work of the entire chain.

The production of electric cars in large series is still hampered by their low autonomy due mainly to the low energy storage capacity of the batteries and the importance of overall losses of the power chain. Indeed, the electric vehicle monitoring strategy is a key factor in energy savings leading to improved of the autonomy. In this paper, we present a systemic control methodology of a synchronous motor with axial flux dedicated to electric traction, taking into account several constraints such as speed limit, the cost of the traction chain losses of the various components of the electric vehicle and the system reliability.

The study presented in this paper concerns the development of a new methodology for design and controlling a wind energy generation chain. This methodology is based on combined Analytical-Finite Element-Experimental method. This type of converter chosen is an AC-DC inverter with IGBTs to improve the robustness of the power chain structure. It offers a reduction of the cost of the power chain and the improvement of the performances of the global studied system, as the control at power factor equal to unity and providing an electromagnetic torque which is added to the useful torque in order to extract the maximal energy. The control algorithms permit to regulate Le charging voltage and current in their rated values considered as optimal battery charging voltage and current. The global model of the power chain is implemented under the Matlab-Sumilink simulation environment for performance and efficiency analysis.

Models of a wind energy conversion chain using classical Simulink models of a diode bridge exhibit significant simulation time making difficult its combination with large scales optimization approaches. For this purpose and to increase the degree of compatibility of wind turbine models with large scales optimization approaches such as those based on Genetic Algorithms, a wind energy conversion system having an horizontal axis propeller, an axial generator with permanent magnets, recharging a battery energy accumulator through a diode rectifier is modeled by simplified method reducing simulation time. Indeed, a model of the three phase’s diode rectifier making the simulation time considerably reduced compared to the existing model in the Simulink library is developed. This model is validated by comparison with the model using the classic Simulink library. Another objective of this study is the formulation of the useful torque optimization problem having an essential constraint the reduction of the generator phase’s inductance in the goal to reduce the overvoltage in generator phases.

In this paper, we present a modeling approach of the power chain based on the trapezoidal control, including the losses of the power train of an electric car. This modeling approach is parameterized leading to a problem of optimization of the parameters influencing the losses which leads to an improvement in the autonomy. This model approach is implanted under the simulation environment Matlab-Simulink. Simulation results are encouraging and opening track search for work optimization and experimental validation of the developed model.