Self-adapting PI controller for grid-connected DFIG wind turbines based on recurrent neural network optimization control under unbalanced grid faults

Commande directe du couple et des puissances d’une MADA associée à un système éolien par les techniques de l’intelligence artificielle

The modeling and control of a wind energy conversion system based on the Doubly Fed Induction Generator DFIG is the discussed theme in this paper. The purpose of this system was to control active and reactive power converted; this control is ensured thanks to the control of the two converters. The proposed control strategies are controlled by PI regulators and the sliding mode technique. In the present work a comparison of the robustness of the 2 controls of the grid side converter (GSC) during a voltage dip is shown. The simulation is carried out using the Matlab/Simulink software with a 300 kW generator.

/pdf/comparative-study-of-the-grid-side-converter-s-control-509v62hle7.pdf

Comparative Study of the Grid Side Converter’s Control during a Voltage Dip

In this research paper we will cover the study of the modelling and the control methods of the variable speed wind turbine based on doubly-fed induction generator (DFIG). It represents the most stressed structure given its distinctive characteristics. To control the electrical powers generated by this system independently, the vector control with the stator flux orientation is founded according to two techniques: i) the control of the powers by the backstepping technique and ii) the robust control based on the active disturbances rejection control. After the synthesis of the controllers of those two methods, their performances will be tested and compared to evaluate their effectiveness. We are mainly interested in the robustness test of the two control strategies with respect to the internal parameters’ fluctuation of the generator. The computing of the different parameters regulators of these two strategies is carried out using a genetic algorithm. This computing method makes it possible to arrive at an optimal solution of the DFIG power control. The different parts are simulated using MATLAB/Simulink environment.

/pdf/robust-control-of-wind-turbine-based-on-doubly-fed-induction-12968qg5.pdf

Robust control of wind turbine based on doubly-fed induction generator optimized by genetic algorithm

Overview on fast primary frequency adjustment technology for wind power future low inertia systems

In this paper we present nonlinear control of the DFIG used in a wind energy conversion system (WECS). The DFIG is directly connected to the grid, moreover the the rotor is connected to the back-to-back converters. the DFIG's active and reactive powers are regulated by controlling the converters. In this work we used 2 methods based on sliding mode to control the rotor side converter. The first one is a normal sliding mode control using with reliable grid, the second one is a modified sliding mode used during the voltage dip. The machine is tested in association with a wind turbine. Simulations results are presented and discussed for the whole system.

The Modified Sliding Mode Control of a Doubly Fed Induction Generator for Wind Energy Conversion During a Voltage Dip

In this paper, we are interested in the study of a DFIG based WECS controlled by the Backstepping as well as its participation in the grid frequency adjustment. The variable speed wind turbine based on DFIG can't participate in frequency setting when a fault occurs due to the decoupling between the rotation speed and the grid frequency. This decoupling is due to the grid side converter and the rotor side converter., we propose In this paper to study the participation of this type of turbine in the frequency adjustment using the synthetic inertial strategy based on the kinetic energy of the rotating masses of the conversion system. We will begin by studying the impact of a frequency drop on the DFIG characteristics controlled by the Backstepping. Then we will implement the synthetic inertia controller allowing the DFIG to act in frequency default. Finally, we will end with the simulation of the different parts using the Matlab / Simulink environment.

Evaluation of the Inertial Response of Variable Speed Wind Turbines Based on DFIG using Backstepping for a Frequency Control

Many countries have focused on the study of the electrical energy production using wind generators. These studies include maintaining the production under disturbed conditions at the grid connection point of wind farms, and maintaining production during voltage dips. Electrical grid operators have established different requirements for connecting renewable energy production systems to electrical grids. In this research paper, we are interested in the study of the wind power system based on the Doubly Fed Induction Generator during a voltage dip. We are also developing a control approach based on Active Disturbance Rejection Control and Genetic Algorithms, which aims to control the stator flux variations which should be taken into account during the current controllers computing. This control strategy will allow the wind power system to remain connected to the grid under voltage dips, and to resume the normal operation after the fault disappearance. The model of the wind power system and the proposed control strategy, are tested in the MATLAB-Simulink software.

Improved control for DFIG based wind power system under voltage dips using ADRC optimized by genetic algorithms

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