This paper seeks to improve the efficiency of a whole wind power conversion system (WPCS) based on a dual star asynchronous machine (DSAM) incorporated with a flywheel energy storage system (FESS) based on an induction machine (IM). The FESS is connected to the wind generator through the DC bus link in order to control the amount of power delivered to the analysed network. The FESS has gained a lot of attention recently because of its low costs, long lifetime, and clean technology. This paper proposes a powerful control strategy based on a synergetic approach with a vector control applied to the DSAM and a Fuzzy logic controller applied to the FESS machine, this control can ensure a quick response time and a good stability of the system over the whole operating range, and can guarantee system robustness. Moreover, the Particle Swarm Optimization algorithm is proposed for fixing the problem of synergetic controller parameter tuning, which enhances the effectiveness of the control system. The dynamic model of the suggested system of the wind power generator is simulated in Matlab/Simulink for all points of operation. The obtained results which are presented and discussed in this paper, show how well the proposed model worked.