Power Control for Wind Turbine Driving a Doubly Fed Induction Generator using Type-2 Fuzzy Logic Controller

2019 ◽  
Author(s):  
Ahmed Vall Hemeyine ◽  
Ahmed Abbou ◽  
Anass Bakouri ◽  
Moussa Labbadi ◽  
Sidi Mohamed ould Mohamed El Moustapha
Keyword(s):  
Fuzzy Logic ◽  
Power Control ◽  
Wind Turbine ◽  
Fuzzy Logic Controller ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Doubly Fed

scholarly journals Doubly Fed Induction Generator Wind Turbines with Fuzzy Controller: A Survey

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
J. S. Sathiyanarayanan ◽  
A. Senthil Kumar
Keyword(s):  
Fuzzy Logic ◽  
Wind Turbine ◽  
Wind Power ◽  
Wind Turbines ◽  
Fuzzy Logic Controller ◽  
Wind Farms ◽  
Voltage Regulation ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Doubly Fed

Wind energy is one of the extraordinary sources of renewable energy due to its clean character and free availability. With the increasing 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. This paper presents fuzzy logic control of doubly fed induction generator (DFIG) wind turbine in a sample power system. Fuzzy logic controller is applied to rotor side converter for active power control and voltage regulation of wind turbine.

Fuzzy Logic Based Control Scheme for Doubly Fed Induction Generator Based Wind Turbine

2018 ◽  
Vol 19 (6) ◽  
Author(s):  
Jawaharlal Bhukya ◽  
Vasundhara Mahajan
Keyword(s):  
Fuzzy Logic ◽  
Power Control ◽  
Wind Turbine ◽  
Reactive Power ◽  
Pi Controller ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Rapid Variation ◽  
Control Scheme ◽  
Doubly Fed

Abstract Stator Flux Orientation Control Scheme (SFOCS) has limitations that its performance is mainly influenced by the tuning of parameters, the Proportional-Integral (PI) controller could not compensate system variations very efficiently. To overcome the drawbacks of PI controller the Fuzzy Logic Controllers (FLCs) are modelled. This paper presents the fuzzy logic based control strategy for the variable speed wind turbine generator by using Doubly Fed Induction Generator (DFIG). The mathematical model for DFIG is developed in synchronous reference frame by using SFOCS for current and voltage control and is discretized in time domain. Based on this model the artificial intelligence based FLCs are designed and implemented so as to improve the performance and efficiency of the system. This control scheme not only enhances the dynamic performance but also maintains almost unity power factor to the grid. In order to explore the robustness of the FLC and conventional PI controller, simulations are carried out for rapid variation of wind speed, and different disturbances generated in the system. The simulation results show that the proposed fuzzy logic based control strategies have better power control, faster oscillation damping, more accurate regulation, considerably reduced settling time and has fewer ripples in comparison with conventional PI controller. In the proposed SFOCS, the PI controllers are replaced with FLCs, to improve the performance and efficiency of the system. The system performance is analyzed for real and reactive power control in SFOCS for the effectiveness of synchronization with the grid.

scholarly journals A Robust Interval Type-2 Fuzzy Logic Controller for Variable Speed Wind Turbines Based on a Doubly Fed Induction Generator

Inventions ◽  
2021 ◽  
Vol 6 (2) ◽  
pp. 21
Author(s):  
Ahmed Vall Hemeyine ◽  
Ahmed Abbou ◽  
Anass Bakouri ◽  
Mohcine Mokhlis ◽  
Sidi Mohamed ould Mohamed El Moustapha
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Induction Generator ◽  
Great Success ◽  
Doubly Fed Induction Generator ◽  
Variable Speed ◽  
Doubly Fed ◽  
Interval Type

This paper presents an implementation of a new robust control strategy based on an interval type-2 fuzzy logic controller (IT2-FLC) applied to the wind energy conversion system (WECS). The wind generator used was a variable speed wind turbine based on a doubly fed induction generator (DFIG). Fuzzy logic concepts have been applied with great success in many applications worldwide. So far, the vast majority of systems have used type-1 fuzzy logic controllers. However, T1-FLC cannot handle the high level of uncertainty in systems (complex and non-linear systems). The amount of uncertainty in a system could be reduced by using type-2 fuzzy logic since it offers better capabilities to handle linguistic uncertainties by modeling vagueness and unreliability of information. A new concept based on an interval type-2 fuzzy logic controller (IT-2 FLC) was developed because of its uncertainty management capabilities. Both these control strategies were designed and their performances compared for the purpose of showing the control most efficient in terms of reference tracking and robustness. We made a comparison between the performance of the type-1 fuzzy logic controller (T1-FLC) and interval type-2 fuzzy logic controller (IT2-FLC). The simulation results clearly manifest the height robustness of the interval type-2 fuzzy logic controller in comparison to the T1-FLC in terms of rise time, settling time, and overshoot value. The simulations were realized by MATLAB/Simulink software.

scholarly journals Direct Power Control Optimization for Doubly Fed Induction Generator Based Wind Turbine Systems

2019 ◽  
Vol 24 (3) ◽  
pp. 77 ◽  
Author(s):  
Alhato ◽  
Bouallègue
Keyword(s):  
Power Control ◽  
Wind Turbine ◽  
Optimization Problem ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Direct Power ◽  
Direct Power Control ◽  
Grasshopper Optimization Algorithm ◽  
Pi Controllers ◽  
Doubly Fed

This study presents an intelligent metaheuristics-based design procedure for the Proportional-Integral (PI) controllers tuning in the direct power control scheme for 1.5 MW Doubly Fed Induction Generator (DFIG) based Wind Turbine (WT) systems. The PI controllers’ gains tuning is formulated as a constrained optimization problem under nonlinear and non-smooth operational constraints. Such a formulated tuning problem is efficiently solved by means of the proposed Thermal Exchange Optimization (TEO) algorithm. To evaluate the effectiveness of the introduced TEO metaheuristic, an empirical comparison study with the homologous particle swarm optimization, genetic algorithm, harmony search algorithm, water cycle algorithm, and grasshopper optimization algorithm is achieved. The proposed TEO algorithm is ensured to perform several desired operational characteristics of DFIG for the active/reactive power and DC-link voltage simultaneously. This is performed by solving a multi‐objective function optimization problem through a weighted‐sum approach. The proposed control strategy is investigated in MATLAB/environment and the results proved the capabilities of the proposed control system in tracking and control under different scenarios. Moreover, a statistical analysis using non-parametric Friedman and Bonferroni–Dunn’s tests demonstrates that the TEO algorithm gives very competitive results in solving global optimization problems in comparison to the other reported metaheuristic algorithms.

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