Réglage des puissances active et réactive d'un aérogénérateur par les techniques intelligences artificielles

Abstract

The work presented in this thesis focuses on the study, analysis, and design of full control of a variable-pitch wind system (VPWS) based on a doubly fed induction generator (DFIG) fed by a direct matrix converter (DMC) equipped with a damped RLC passive filter to reduce the injection of harmonics into the grid. In this context, to ensure optimal exploitation of wind energy, the maximum power point tracking (MPPT) strategy has been designed when the wind speed is lower than its nominal value on the one hand, and on the other hand, to limit the power extracted to its rated value and also avoid malfunctioning of the wind system when the wind speed is exceeded its nominal value, the pitch angle control strategy has been applied. For a high-performance control of the active and reactive powers of DFIG under the stochastic variation of the wind speed conditions, several control strategies based on the theory of sliding modes like the first order controller (F-OSMC), second order (S-OSMC) and the third (TOSMC) have been incorporated into the direct flied-oriented control (DFOC) strategy. Moreover, to ensure direct energy conversion between the grid and the DFIG without a DClink, a direct matrix converter controlled by the Venturini modulation strategy has been used. In this context, to minimize the total current harmonic distortion (THD), a damped RLC filter that consists of a resistor connected in parallel with an inductor was installed between the grid and DMC. This type of filter meets the proposed conversion system's technical requirements and has a simpler structure, cheaper cost, and more profitable. The different control strategies proposed for the system considered were simulated in the Matlab environment. The obtained results confirm the effectiveness and reliability of these strategies regarding the decoupled control of active and reactive powers, the good monitoring of the imposed references against the stochastic variation of the wind speed, the low weather response, and the reduced harmonic distortion rate