scholarly journals The fuzzy logic controllers synthesis method in the vector control system of the wind turbine doubly-fed induction generator

2020 ◽  
Vol 166 ◽  
pp. 04006
Author(s):  
Andrey Uskov ◽  
Vadym Shchokin ◽  
Oleksii Mykhailenko ◽  
Oleksii Kryvenko
Keyword(s):  
Control System ◽  
Wind Turbine ◽  
Vector Control ◽  
Wind Turbines ◽  
Alternative Energy ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Inference System ◽  
Doubly Fed ◽  
Vector Control System

The article is devoted to the improvement of control systems for wind turbines by developing fuzzy controllers with higher transient characteristics and low computational costs of identification in comparison with the applied PI controllers. Based on the self-organization method, a fuzzy speed controller of the doubly-fed induction generator (DFIG) of a wind turbine was synthesized, which uses a zero-order Sugeno fuzzy inference system and is made in the form of a block-oriented Wiener model. This regulator is an element of the vector control system of the transistor converter on the rotor side. The results of simulation modeling of the fuzzy controller showed that it provides a lower transition time compared to the PI controller, by 53.59% during acceleration and by 79.76% during braking, and 23.81% less error speed deviations from the reference signal. Such indicators can minimize losses while maintaining the maximum output power point of the power plant. The implementation of the developed system on wind turbines contributes to increasing the efficiency of wind farms, reducing the cost of electricity production, reducing the payback period of equipment, and the sustainable development of alternative energy in general.

scholarly journals Modelling and control of wind turbine doubly fed induction generator with MATLAB simulink

2017 ◽  
Vol 7 (2) ◽  
pp. 77-91
Author(s):  
Merabet Leila ◽  
Mekki Mounira ◽  
Ourici Amel ◽  
Saad Salah
Keyword(s):  
Control System ◽  
Wind Energy ◽  
Wind Turbine ◽  
Reactive Power ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Matlab Simulink ◽  
Command Signals ◽  
Doubly Fed ◽  
And Control

This paper describes the modelling and control system of a wind turbine, using a doubly fed induction generator. This configuration makes the wind turbine suitable for variable speed wind energy application. The power captured by the wind turbine is converted into electrical power by the induction generator, and it is transmitted to the grid by the stator and the rotor windings. The control system generates voltage command signals for rotor converter and grid converter, respectively, in order to control the power of the wind turbine. Reactive power exchanged with the network through the converters is set to 0 VAr. The control strategy has been developed using MATLAB/Simulink. The simulation results are presented and discussed in the conclusions. Keywords: Wind energy, doubly fed induction generator, grid power, modelling, control.

Study of the influence of different feed-forward voltage compensation terms on the fault ride-through capability of doubly fed induction generator wind turbines

2017 ◽  
Vol 41 (3) ◽  
pp. 147-159
Author(s):  
Yu Ling
Keyword(s):  
Control System ◽  
Wind Turbines ◽  
Current Control ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Forward Voltage ◽  
Feed Forward ◽  
Fault Ride Through ◽  
Voltage Compensation ◽  
Doubly Fed

As a result of the increasing wind power penetration into power systems, the wind farms, especially with doubly fed induction generators, are required to have the fault ride-through capability. The article presents a study on the influence of three different feed-forward voltage compensation terms in rotor current control on the fault ride-through capability of doubly fed induction generator wind turbines. The study focuses on the enhancement of fault ride-through capability for doubly fed induction generator wind turbines by adopting different feed-forward voltage compensation terms in rotor current control. The three control strategies, which are developed based on different feed-forward voltage compensation terms, are evaluated through simulations of doubly fed induction generator wind turbines under both normal conditions and grid voltage fault conditions. The three control methods present different performances. Under normal conditions, the control system 1 presents better performance. However, the control system 3 presents better performance when the doubly fed induction generator wind turbine is subjected to a voltage fault. In order not to have the influence on the performance under normal operating conditions, the added feed-forward voltage compensation terms in the control system 3, which acted as a fault control mode, are enabled only when a voltage fault occurs in the grid.

Symmetrical Short Circuit Current Characteristics of Doubly Fed Induction Generator Wind Turbine with Crowbar Protection

2012 ◽  
Vol 512-515 ◽  
pp. 782-787
Author(s):  
Jia Jun Zhai ◽  
Bu Han Zhang ◽  
Kui Wang ◽  
Wen Shao ◽  
Cheng Xiong Mao
Keyword(s):  
Wind Turbine ◽  
Wind Turbines ◽  
Short Circuit ◽  
Short Circuit Current ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Operating Characteristics ◽  
Doubly Fed ◽  
Crowbar Protection ◽  
Short Circuit Fault

Doubly fed induction generator (DFIG) is now becoming one of most widely used wind turbines in global market for wind power generation, due to its outstanding advantages. However, the DFIG is sensitive to grid faults. The DFIG will have to be removed from the grid if there’s no protection appliance in it. Therefore, the crowbar protection is widely used in the world for improving the low voltage ride-through ability of wind turbines. This paper analysed the operating characteristics and short-circuit current of DFIG under symmetrical short-circuit fault with respect to different sags to grid voltage, which on the basis of DFIG wind turbine with crowbar protection. And the expressions of short-circuit current under symmetrical short-circuit fault for DFIG were derived. The effectiveness of the expression was simulated in PSCAD/EMTDC.

scholarly journals Modelling and power control of grid-connected wind energy system

2018 ◽  
Vol 8 (2) ◽  
pp. 87-95
Author(s):  
Nadia Ben Si Ali ◽  
Nora Zerzouri ◽  
Nadia Benalia
Keyword(s):  
Wind Energy ◽  
Vector Control ◽  
Wind Turbines ◽  
Energy System ◽  
Control Technique ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Wind Energy Generation ◽  
Power Point ◽  
Doubly Fed

Wind energy generation has attracted great interests in recent years. Doubly Fed Induction Generator (DFIG) for wind turbines are largely deployed because variable-speed wind turbines have many advantages over fixed-speed generation such as increased energy capture, operation at maximum power point, improved efficiency, and power quality. This paper presents the operation and vector control of a Doubly-fed Induction Generator (DFIG) system where the stator is connected directly to a stiff grid and the rotor is connected to the grid through bidirectional back-to-back AC-DC-AC converter. The basic operational characteristics , mathematical model of the aerodynamic system and vector control technique which is  used to obtain decoupled control of powers are investigated using the software Matlab/Simulink.

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.

Modelling and dynamic state estimation of a doubly fed induction generator wind turbine

2020 ◽  
Vol 39 (6) ◽  
pp. 1393-1409
Author(s):  
Sayyed Ali Akbar Shahriari
Keyword(s):  
Wind Turbine ◽  
State Estimation ◽  
Nonlinear Model ◽  
Wind Turbines ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
State Variables ◽  
Content Type ◽  
Proposed Model ◽  
Doubly Fed

Purpose This paper aims to propose an 18th-order nonlinear model for doubly fed induction generator (DFIG) wind turbines. Based on the proposed model, which is more complete than the models previously developed, an extended Kalman filter (EKF) is used to estimate the DFIG state variables. Design/methodology/approach State estimation is a popular approach in power system control and monitoring because of minimizing measurement noise level and obtaining non-measured state variables. To estimate all state variables of DFIG wind turbine, it is necessary to develop a model that considers all state variables. So, an 18th-order nonlinear model is proposed for DFIG wind turbines. EKF is used to estimate the DFIG state variables based on the proposed model. Findings An 18th-order nonlinear model is proposed for DFIG wind turbines. Furthermore, based on the proposed model, its state variables are estimated. Simulation studies are done in four cases to verify the ability of the proposed model in the estimation of state variables under noisy, wind speed variation and fault condition. The results demonstrate priority of the proposed model in the estimation of DFIG state variables. Originality/value Evaluating DFIG model to estimate its state variables precisely.

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