scholarly journals Power fuzzy adaptive control for wind turbine

Author(s):  
Yacine Hocini ◽  
Ahmed Allali ◽  
Houari Merabet Boulouiha

In recent years, wind energy has become one of the most promising renewable energy sources. The doubly-fed induction generator (DFIG) is currently the most common type of generator used in wind farms. This paper describes an approach for the independent control of the active and reactive power of the variable-speed DFIG. This paper deals with the control of the active and reactive powers in a DFIG designed for a wind system. The simulation model including a 7 KW - DFIG driven by a wind turbine, a PWM inverter and the proposed control strategy are developed and implemented using Matlab Simulink.

Author(s):  
Samuel A Omolola ◽  
Najeem O. Adelakun

The need for clean and stable electricity has given rise to renewable energy globally. Currently, Wind Energy generation is one the leading renewable energy sources and DFIG-based wind turbine are invariably the best approach to generate a multi-megawatts power at variable speed with less fluctuation in output power, ability to control its generated active and reactive power with minimal cost. This paper presents a model of a grid connected DFIG based Wind Turbine system for variable- speed where the speed range requirements are small, the overall system simulated using MATLAB/SIMULINK and the results shows the behaviour of DFIG with this type of control system and the numerous advantages in terms of cost reduction and the potential to build economically at multi-megawatt power system, as a result, DFIG grid connected wind turbine is essential.


2016 ◽  
Vol 10 (8) ◽  
pp. 1
Author(s):  
Faraz Chamani ◽  
Mohammad Satkin

Wind energy is one of the extraordinary sources of renewable energy due to its clean character and free availability. With increase in wind power penetration, the wind farms are directly influencing the power systems. The majority of wind farms are using variable speed wind turbines equipped with doubly fed induction generators (DFIG) due to their advantages over other wind turbine generators (WTGs). Therefore, the analysis of wind power dynamics with the DFIG wind turbines has become a very important research issue, especially during transient faults. In this article, a controller is provided to control the active and reactive power of a wind system equipped with doubly fed induction generator. The generator is connected to the grid by a back to back converter that gets benefit from control system known as single periodic controller. Grid and generator side converters respectively control the generator speed and reactive power using proposed controller. In order to increase the accuracy of controller, we optimized its PI parameters using genetic optimization algorithm. Finally, simulation results conducted by the MATLAB software are shown. The results of simulation gained through this system, show the capability of proposed controller under error conditions for controlling active and reactive power and also elimination of harmonics caused by non-linear load.


Author(s):  
Boumerid Bensahila Med El Amine ◽  
Allali Ahmed ◽  
Merabet Boulouiha Houari ◽  
Denai Mouloud

In recent years, wind energy has become one of the most promising renewable energy sources. Various wind turbine concepts with different generator topologies have been developed to convert this abundant energy into electric power. The doubly-fed induction generator (DFIG) is currently the most common type of generator used in wind farms. Usually the DFIG generator is a wound rotor induction machine, where the stator circuit is directly connected to grid while the rotor’s winding is connected to the grid via a three-phase converter. This paper describes an approach for the independent control of the active and reactive powers of the variable-speed DFIG. The simulation model including a 1.5 MW-DFIG driven by a wind turbine, a PWM back-to-back inverter and the proposed control strategy are developed and implemented using MATLAB/Simulink/SimPowerSystems environment.


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