Optimization Using a Genetic Algorithm Based on DFIG Power Supply for the Electrical Grid
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TL;DR: In this paper , the authors introduced theories of genetic algorithms into the control strategy used in the switching chain of wind turbines, to improve performance and efficiency, and applied artificial intelligent controls such as genetic algorithms control.
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Abstract: In this paper, we will be interested in studying a system consisting of a wind turbine operating at variable wind speed, and a two-feed asynchronous machine (DFIG) connected to the grid by the stator and fed by a transducer at the side of the rotor. The conductors are separately controlled for active and reactive power flow between the stator (DFIG) and the grid. The proposed controllers generate reference voltages for the rotor to ensure that the active and reactive power reaches the required reference values, to ensure effective tracking of the optimum operating point and obtaining the maximum electrical power output. Dynamic analysis of the system is performed under the variable wind speed. This analysis is based on active and reactive energy control. The new work in this paper is to introduce theories of genetic algorithms into the control strategy used in the switching chain of wind turbines, to improve performance and efficiency. Simulation results applied to genetic algorithms give greater efficiency, impressive results, and stability to wind turbine systems compared to classic PI regulators. Then, artificial intelligent controls, such as genetic algorithms control, are applied. . Results obtained, in Matlab/Simulink environment, show the efficiency of this proposed unit.
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Citations
Robust control of wind turbine based on doubly-fed induction generator optimized by genetic algorithm
TL;DR: This research paper will cover the study of the modelling and the control methods of the variable speed wind turbine based on doubly-fed induction generator (DFIG), the most stressed structure given its distinctive characteristics.
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References
AutoGrow4: an open-source genetic algorithm for de novo drug design and lead optimization
TL;DR: An open-source program for semi-automated computer-aided drug discovery that produces drug-like compounds with better predicted binding affinities than FDA-approved PARP-1 inhibitors and applies it to the catalytic domain of poly(ADP-ribose) polymerase 1, a well characterized DNA-damage-recognition protein.
An Improved Direct Power Control for Doubly Fed Induction Generator
TL;DR: Simulation results demonstrate that the proposed voltage-modulated direct power control has a faster transient response than conventional vector-oriented control (VOC) and maintains a satisfactory steady-state performance at the same level as the VOC.
A Highly Effective Fault-Ride-Through Strategy for a Wind Energy Conversion System With a Doubly Fed Induction Generator
TL;DR: An improved fault-ride-through (FRT) system for a wind turbine with a doubly fed induction generator (DFIG) that is based on the proper stator voltage control to address symmetrical as well as unsymmetrical and unbalanced grid voltage sags is proposed.
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Modeling and control of a doubly fed induction generator for grid integrated wind turbine
Kiran Siraj,Haris Siraj,Mashood Nasir +2 more
- 11 Dec 2014
TL;DR: In this paper, the authors presented the modeling, simulation and control of a grid connected doubly fed induction generator (DFIG) coupled with the wind turbine, and the proposed scheme is implemented in SIMULINK / MATLAB environment and the simulation results validate the efficacy of proposed scheme.
Comparative study between backstepping adaptive and field-oriented control of the DFIG applied to wind turbines
Mohammed Taoussi,Mohammed Karim,Dalila Hammoumi,Chakib El Bekkali,Badre Bossoufi,Najib El Ouanjli +5 more
- 01 May 2017
TL;DR: This work concerns the elaboration an efficient and robust control of active and reactive power by using the adaptive Backstepping control, which is applied to wind turbine energy, but this controller depends highly on parameter variations of the Doubly Fed Induction Generator.
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