scholarly journals Nonlinear Maximum Power Point Tracking Control Method for Wind Turbines Considering Dynamics

2020 ◽  
Vol 10 (3) ◽  
pp. 811 ◽  
Author(s):  
Liangwen Qi ◽  
Liming Zheng ◽  
Xingzhi Bai ◽  
Qin Chen ◽  
Jiyao Chen ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Pitch Angle ◽  
Maximum Power Point ◽  
Feed Forward ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Capture ◽  
Power Point ◽  
Aerodynamic Torque ◽  
Blade Pitch Angle

A combined strategy of torque error feed-forward control and blade-pitch angle servo control is proposed to improve the dynamic power capture for wind turbine maximum power point tracking (MPPT). Aerodynamic torque is estimated using the unscented Kalman filter (UKF). Wind speed and tip speed ratio (TSR) are estimated using the Newton–Raphson method. The error between the estimated aerodynamic torque and the steady optimal torque is used as the feed-forward signal to control the generator torque. The gain parameters in the feed-forward path are nonlinearly regulated by the estimated generator speed. The estimated TSR is used as the reference signal for the optimal blade-pitch angle regulation at non-optimal TSR working points, which can improve the wind power capture for a wider non-optimal TSR range. The Fatigue, Aerodynamics, Structures, and Turbulence (FAST) code is used to simulate the aerodynamics and mechanical aspects of wind turbines while MATLAB/SIMULINK is used to simulate the doubly-fed induction generator (DFIG) system. The example of a 5 MW wind turbine model reveals that the new method is able to improve the dynamic response of wind turbine MPPT and wind power capture.

Magnus Wind Turbine Emulator With MPPT by Cylinder Rotation Control

2018 ◽  
Vol 140 (10) ◽  
Author(s):  
Leonardo Candido Corrêa ◽  
João Manoel Lenz ◽  
Cláudia Garrastazu Ribeiro ◽  
Felix Alberto Farret
Keyword(s):  
Wind Turbine ◽  
Output Power ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Control Technique ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point ◽  
Turbine Model

An emulator for the nonconventional Magnus wind turbine was designed and developed in this study. A brief discussion is made of this special case of horizontal axis wind generator and of the main physics principles involving the Magnus phenomenon. A mathematical model was used to emulate the static behavior of the Magnus wind turbine and a detailed analysis is presented about its peculiar rotating cylinder characteristics. Based on the relationship between cylinder blade rotation and power coefficient, a hill climb search algorithm was developed to perform maximum power point tracking. The impact of the cylinder's rotation speed on the turbine net output power was evaluated. A controlled direct current motor was used to provide torque, based on the Magnus turbine model, and drive a permanent magnet synchronous generator (PMSG); the latter was controlled by a buck converter in order to extract the maximum generated power (MGP). Simulations of the Magnus wind turbine model and its maximum power point tracking (MPPT) control are also presented. A prototype of the proposed emulator was developed and operated by a user-friendly LabVIEW interface. Measurements of the power delivered to the load were acquired for different wind speeds; these results were analyzed and compared with simulated values showing a good behavior of the emulator with respect to the turbine model. The proposed control technique for maximizing the output power was validated by emulated results. The modeling and development of the Magnus turbine emulator also serve to encourage further studies on generation and control with this wind machine.

scholarly journals Application of the Feedback Linearization in Maximum Power Point Tracking Control for Hydraulic Wind Turbine

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1529
Author(s):  
Chao Ai ◽  
Wei Gao ◽  
Qinyu Hu ◽  
Yankang Zhang ◽  
Lijuan Chen ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Tracking Control ◽  
Feedback Linearization ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Control Law ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Taking the hydraulic wind turbine as the research object, the method is studied to improve the utilization ratio of wind energy for hydraulic wind turbine, when the wind speed is lower than the rated wind speed. The hydraulic fixed displacement pump speed and generating power can be used as control output to realize the maximum power point tracking control. The characteristics of the maximum power point tracking control are analyzed for hydraulic wind turbine, and the hydraulic output power is taken as control output based on the comprehensive performance requirements. Because the hydraulic wind turbine is a strong multiplication nonlinear system, the system is globally linearized based the feedback linearization method, and the maximum power point tracking control law is obtained. The simulation and experiment results show that the system has good dynamic performance with the proposed control law. The control provides theoretical guidance for optimal power tracking control law application for hydraulic wind turbine.

Maximum Power Point Tracking Control of PMSG Wind Turbine Based on Action Dependent Heuristic Dynamic Programming

2012 ◽  
Vol 241-244 ◽  
pp. 1098-1104
Author(s):  
Shao Jian Song ◽  
Fei Long Zhang ◽  
Bi Lian Liao
Keyword(s):  
Dynamic Programming ◽  
Wind Turbine ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Stator Current ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Heuristic Dynamic Programming ◽  
Power Point

Wind turbine system with Permanent Magnet Synchronous Generator (PMSG) is a complex nonlinear system of multi-interference and strong coupling, so its accurate mathematical model is difficult to be built. Due to the randomness of the wind, traditional PID control is often hard to get satisfactory results in the Maximum Power Point Tracking (MPPT) control of the wind turbine. A new adaptive optimization control based on action dependent heuristic dynamic programming (ADHDP) is presented to control the stator current of PMSG. The stator current of the generator can adapt the change of the wind speed, so the MPPT of PMSG can be achieved. Simulation results in Matlab/Simulink show that the ADHDP controller can get better performances than PID controller.

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