The Novel Control Technology of Wind Turbine in VSCF Wind Power Generation System

2014 ◽  
Vol 532 ◽  
pp. 616-619 ◽  
Author(s):  
Jun Li Zhang ◽  
Yu Ren Li ◽  
Li Li Xie
Keyword(s):  
Power Generation ◽  
Dynamic Response ◽  
Wind Power ◽  
Feedback Linearization ◽  
Response Speed ◽  
Wind Power Generation ◽  
Nonlinear Controller ◽  
Generation System ◽  
Grid Security ◽  
Power Generation System

In order to make wind power generation system connect to the grid normally in the grid voltage transient fault, it is required in grid security standards that wind power generation system has some capability of fault run-through. The nonlinear controller was designed based on feedback linearization technique. The controller's main purpose is to improve the wind power system steady state performance while to gain better dynamic response speed via controlling the motor terminal voltage and rotor rotation angle. Simulation results indicated that the proposed method could improve the dynamic response speed, as well as improve the steady performance of the wind power generation system.

Feedback Linearization Control for PMSG Wind Power Generation System with Application of Wind Turbine in Mechanical Engineering

2013 ◽  
Vol 644 ◽  
pp. 115-118
Author(s):  
Na Li ◽  
Wu Wang
Keyword(s):  
Power Generation ◽  
Wind Energy ◽  
Wind Power ◽  
Coordinate Transformation ◽  
Feedback Linearization ◽  
Mechanical Engineering ◽  
Wind Power Generation ◽  
Generation System ◽  
Feedback Linearization Control ◽  
Power Generation System

The fluctuation, intermittence and uncertain are the characteristics of wind energy which cause wind energy output power fluctuation, so the wind power generation system was a typical nonlinear system, which was hard to be controlled exactly by traditional controllers, so, the feedback linearization control was applied to wind power generation system (WPGS) in mechanical engineering, which was to reduce the cost of wind energy conversion system and improve its performance. Feedback linearization control contains coordinate transformation, Lie derivative solving, and inverse coordinate transformation module, the control strategy was proposed. The WPGS model was constructed under MATLAB platform, with feedback linearization control theory based on differential geometry, the coordinated transformation and nonlinear state feedback were obtained. the simulation parameters was designed and the simulation result shows the control model was stable and direct feedback linearization control with higher tracking performance, which can effectively implement maximum energy capture.

Application of Feedback Linearization Control for Optimal Power Tracking with Energy in Wind Power Generation System

2013 ◽  
Vol 648 ◽  
pp. 293-296
Author(s):  
Yue Feng Geng ◽  
Wu Wang
Keyword(s):  
Power Generation ◽  
Wind Energy ◽  
Wind Power ◽  
Feedback Linearization ◽  
Wind Power Generation ◽  
Energy Output ◽  
Generation System ◽  
Optimal Power ◽  
Feedback Linearization Control ◽  
Power Generation System

Fluctuation, intermittence and uncertain are the characteristics of wind energy which cause wind energy output power fluctuation and influence the grid stability and power quality, it is hard to be controlled exactly by traditional controllers. The feedback linearization control was applied to wind power generation system (WPGS), which was to reduce the cost of wind energy conversion system and improve its performance. The WPGS model was constructed with mathematical models of aerodynamics subsystem, drive train subsystem and permanent magnetic synchronous generator (PMSG) subsystem. The feedback linearization control rule was proposed, with feedback linearization control theory based on differential geometry, the coordinated transformation and nonlinear state feedback were obtained. The system was constructed with MATLAB/Simulink platform, the model and control strategy was adopted and the simulation result shows this method can realized optimal power control, which has maximum energy capture ability.

Development of a City Type Compact Wind Power Generation System

2005 ◽  
Vol 125 (11) ◽  
pp. 1016-1021 ◽  
Author(s):  
Yoshihisa Sato ◽  
Naotsugu Yoshida ◽  
Ryuichi Shimada
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Wind Power Generation ◽  
Generation System ◽  
Power Generation System

Power Electronics for Grid Integration of Wind Power Generation System

2016 ◽  
Vol 9 ◽  
pp. 10 ◽  
Author(s):  
Michael S Okundamiya
Keyword(s):  
Power Generation ◽  
Wind Energy ◽  
Power Electronics ◽  
Wind Power ◽  
Renewable Energy Sources ◽  
Wind Power Generation ◽  
Generation System ◽  
Electricity Grid ◽  
Power Generation System ◽  
Promising Source

The rising demands for a sustainable energy system have stimulated global interests in renewable energy sources. Wind is the fastest growing and promising source of renewable power generation globally. The inclusion of wind power into the electric grid can severely impact the monetary cost, stability and quality of the grid network due to the erratic nature of wind. Power electronics technology can enable optimum performance of the wind power generation system, transferring suitable and applicable energy to the electricity grid. Power electronics can be used for smooth transfer of wind energy to electricity grid but the technology for wind turbines is influenced by the type of generator employed, the energy demand and the grid requirements. This paper investigates the constraints and standards of wind energy conversion technology and the enabling power electronic technology for integration to electricity grid.

Research on Optimal Gradient - Climbing Algorithm in Wind Power Generation

2013 ◽  
Vol 385-386 ◽  
pp. 1100-1103 ◽  
Author(s):  
Qiang Zhao ◽  
Chang Cui
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Search Algorithm ◽  
Buck Converter ◽  
Wind Power Generation ◽  
Generation System ◽  
Load Impedance ◽  
Point Tracking ◽  
Power Generation System ◽  
Step Climbing

Maximum power point tracking for wind power generation system fixed step climbing algorithm prone to miscalculation and oscillation shortcomings. Adaptive improved optimal gradient method is put forward to overcome the shortcomings and optimize the existing fixed step climbing algorithm. By Controlling Buck Converter duty radio rapidly match between wind power generation system and load impedance. The simulation result shows that the anti-interference and convergence of the improved hill-climb search algorithm is better than that of the traditional one.

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