SUMMARYThis paper deals with a methodology for the design of a permanent magnet motor dedicated for traction. Several structures to reduce the permanent magnet motor production cost are explored. The most promising is an axial flux modular structure with straight slots and concentrated windings. Optimisation procedures are presented and applied to find these structures. An analytic dimensioning step is carried out simultaneously with a finite element electromagnetic modelling step so as to validate gradually the computational analysis. Then, a fine-tuned finite element model is realised dynamically so as to validate wave forms that depend strongly on the machine geometry as well as on the electromagnetic motor torque. This study has allowed the entire validation of the analytic sizing computations.

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In this paper, we present a design model of permanent magnet generator dedicated to generate renewable energy, taking in account of several systemic and physical constraints. Being couple to a model of the losses of the power chain and to a model of the mass of the generator, this analytic model puts a problem of conjoined optimization of the recovered energy and the cost of the generator. This problem is solved by genetic algorithms method.

In this paper we describe a design and modeling methodology of synchronous generation system for renewable energy. Our choice fell on a synchronous generator structure with permanent magnet and axial flux simple to manufacturing to reduce the production cost of the energy generation system. The modeling approach presented leads to a scientific results of high level and opens the line of research to the study of the optimization of the energy recovered by the energy accumulator.

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.