<span lang="EN-US">The paper proposes a complete modeling and control technique of variable speed wind turbine system (WTS) based on the doubly fed induction generator (DFIG). Two levels back-to-back converter is used to ensure the energy transfer between the DFIG rotor and the grid. The wind turbine to operate efficiently, a maximum power point tracking (MPPT) algorithm is implemented. Then, direct power control (DPC) strategy has been combined with the MPPT technique in order to guarantee the selection of the appropriate rotor voltage vectors and to minimize the active and reactive power errors. Finally, the simulation is performed by using MATLAB/simulink platform basing on 7.5KW DFIG wind generation system, and the results prove the effectiveness of our proposed control technique.</span>
This research work deals with the design of a direct power control strategy (DPC) based on the fractionalorder sliding mode (FOSMC) theory for the doubly fed induction generator (DFIG). The novelty of this paper is the use of proportional derivative (PD) fractional order sliding surface that is constructed using Riemann-Liouville fractional derivative and its accurate representation with a transfer function. This make the whole control strategy simpler and more accurate. Also the study of the quality of the current injected into the grid is performed. The stability of DFIG is guaranteed by means of the Lyapunov function. In order to optimize the amount of electrical energy captured from the wind, the MPPT (Maximum Power Point Tracking) technique is adopted. The proposed controller forces the system to track the desired values of active and reactive powers. In addition, power ripples are restrained even if the DFIG is subjected to disturbances and parameter variations. Furthermore, a comparative study is conducted between the developed controller and other nonlinear methods that exist in the literature. The results obtained, under different wind profiles, confirm its robustness and superiority in terms of performance and quality of power injected into the grid. In terms of THD, our control strategy does not exceed 1.31%, on the contrary, the fuzzy logic DTC which is developed recently reaches 2.81%.
The purpose of the Energy Management System (EMS) is to ensure a high degree of efficiency, stability, and dependability. And the electrical system should have the ability to adjust to the majority of changes such as renewable energy integration. In some situations, the power generated by distributed power sources is greater than the local demand. This has an effect on the microgrid's stability and frequency. Smart energy management in a microgrid is proposed in this research., consisting of a wind power generator, photovoltaic and storage energy system for frequency regulation, and system balance. The above paper's main contribution is a system for managing energy. based on a clever strategy using MATLAB/Simulink. The results of the simulation and analyses demonstrate that the suggested microgrid energy management system is efficient at balancing energy.
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