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Optimal control strategy of variable wind speed generator based on Artificial Neutral Networks

Jerbi L., Krichen L., Ouali A.

Archives of Control Sciences

2006

Vol. 16, no. 4

423-433

Currently, the use of the doubly-fed induction generators is more and more justified for the aero-generators which develop electric power greater than a few megawatts. These aerogenerators characterized by their variable speed enable to capture the maximum power of the wind and ensure the production of a high quality electric power. The interest of this paper is to control an aero-generator including a doubly-fed induction machine directly connected to the grid at the stator side and via a reversible converter at the rotor site. the state control feedback law is established by considering a third reduced model with stator flux oriented simultaneously assures the dynamic decoupling of the two d-q rotor flux components and eliminates the mechanical transitory oscillations. a neuronal network radial basis function is used to approximate the control law parameters for any varying wind speed and any reactive power being imposed by the power network load flow computation. This control law permits to enhance the robustness stability of the aero-generator for any abrupt fluctuations of the wind speed and to supply the grid at the same time with a high quality of electric power.