scholarly journals Nonlinear Maximum Power Point Tracking Control of Wind Turbine Based on Two-Mass Model Without Anemometer

2021 ◽  
Vol 9 ◽  
Author(s):  
Jian Chen ◽  
Qun Lu ◽  
Libing Chen ◽  
Xiaohui Duan ◽  
Boping Yang ◽  
...  
Keyword(s):  
Wind Speed ◽  
Nonlinear Control ◽  
Wind Turbine ◽  
Control Strategy ◽  
Feedback Linearization ◽  
Maximum Power ◽  
Control Technique ◽  
Speed Ratio ◽  
Rotor Speed ◽  
Mass Model

A nonlinear control without using anemometer is proposed to achieve the maximum power of the wind turbine (WT) based on two-mass model in this paper. To track the maximum power points, the optimal tip speed ratio control strategy requiring to know the optimal rotor speed of the WT (ORS) is employed. To achieve the ORS, a torque observer is designed to estimate the aerodynamic torque, then the ORS can be obtained by the corresponding calculations based on the estimated torque. Due to the high nonlinearities of the WT and time-varying wind speed, a nonlinear control based on feedback linearization control (FLC) is adopted to track the ORS. In the FLC, the WT is linearized firstly, then the rotor speed controller is designed via linear control technique. The effectiveness of the proposed control strategy is verified by simulation studies. The simulation results show that, compared with the traditional PI control based on torque estimation and FLC based on wind speed estimation, the proposed control strategy provides better dynamic performances and higher power conversion efficiency.

Experimental Study of Vertical Axis Wind Turbine with Wind Speed Self-Adapting

2012 ◽  
Vol 215-216 ◽  
pp. 1323-1326
Author(s):  
Ming Wei Xu ◽  
Jian Jun Qu ◽  
Han Zhang
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Wind Velocity ◽  
Vertical Axis ◽  
Maximum Power ◽  
The Self ◽  
Power Coefficient ◽  
Speed Ratio ◽  
Vertical Axis Wind Turbine ◽  
Opening And Closing

A small vertical axis wind turbine with wind speed self-adapting was designed. The diameter and height of the turbine were both 0.7m. It featured that the blades were composed of movable and fixed blades, and the opening and closing of the movable blades realized the wind speed self-adapting. Aerodynamic performance of this new kind turbine was tested in a simple wind tunnel. Then the self-starting and power coefficient of the turbine were studied. The turbine with load could reliably self-start and operate stably even when the wind velocity was only 3.6 m/s. When the wind velocity was 8 m/s and the load torque was 0.1Nm, the movable blades no longer opened and the wind turbine realized the conversion from drag mode to lift mode. With the increase of wind speed, the maximum power coefficient of the turbine also improves gradually. Under 8 m/s wind speed, the maximum power coefficient of the turbine reaches to 12.26%. The experimental results showed that the new turbine not only improved the self-starting ability of the lift-style turbine, but also had a higher power coefficient in low tip speed ratio.

Maximum Wind Power Tracking Strategy of Wind Power Generation System

2013 ◽  
Vol 313-314 ◽  
pp. 813-816
Author(s):  
Yue Hua Huang ◽  
Huan Huan Li ◽  
Guang Xu Li
Keyword(s):  
Power Generation ◽  
Wind Speed ◽  
Wind Power ◽  
Control Strategy ◽  
Wind Power Generation ◽  
Maximum Power ◽  
Speed Ratio ◽  
Generation System ◽  
Maximum Wind ◽  
Power Generation System

Aiming at maximum wind power tracking control problem of wind power generation system below the rated wind speed, this paper presents an improved MPPT control strategy by using turbulent part of the wind speed as a search signal to find the maximum power point. By using the Matlab/Simulink simulation of the wind power generation system below the rated wind speed, this paper proves the effectiveness of this control strategy. The simulation results show that improved MPPT control strategy can well control the wind turbine speed to track the wind speed changes to maintain optimum tip speed ratio and the maximum power coefficient.

The Rotor Speed Control of 5MW Wind Turbine under Rated Wind Speed Using Adaptive-PID Controller

2012 ◽  
Vol 229-231 ◽  
pp. 2323-2326
Author(s):  
Zong Qi Tan ◽  
Can Can Li ◽  
Hui Jun Ye ◽  
Yu Qiong Zhou ◽  
Hua Ling Zhu
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Pid Controller ◽  
Turbine Rotor ◽  
Speed Ratio ◽  
Rotor Speed ◽  
Rotating Speed ◽  
Tip Speed Ratio ◽  
Variable Wind ◽  
Wind Turbine Rotor

This paper designed the controller of the wind turbine rotor rotating speed. This model of adaptive-PID through control the tip-speed ratio and count the values of PID for variable wind speed. From the result of simulation, the wind speed can run in a good dynamic characteristic, and keep the rotor running in the best tip-speed ratio at the same time.

scholarly journals Research of Power Control for Grid-connected Wind Turbine with Differential Speed Regulation

2018 ◽  
Author(s):  
Su Rui ◽  
Zhang Huan ◽  
Wang Fujun ◽  
Li Gangjun
Keyword(s):  
Wind Speed ◽  
Power Control ◽  
Wind Turbine ◽  
Control Method ◽  
Frequency Converter ◽  
Gear Train ◽  
Speed Ratio ◽  
Rotor Speed ◽  
Speed Regulation ◽  
Differential Speed

The differential gear train and speed regulating motor constitute the variable ratio transmission for grid-connected wind turbine with differential speed regulation. The synchronous generator in the system can accessing the power grid without frequency converter. The transmission can realize the mode of variable speed constant frequency that the wind rotor speed is varying and the generator rotor speed is constant. The power control method is studied under the different wind speed which is lower or higher than rated wind speed with using the relational expression of utilization rate of wind energy Cp, pitch angle β and the tip speed ratio λ. The SIMULINK software is used to build the 1500 kW wind turbine model with differential speed regulation. Some different wind speed is made as input. The feasibility of power control method for grid-connected wind turbine with differential speed regulation is verified by the comparison between the simulation results and the theoretical value of the key parameters.

scholarly journals Modeling and Analysis of Maximum Power Tracking of a 600 kW Hydraulic Energy Storage Wind Turbine Test Rig

Processes ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. 706 ◽  
Author(s):  
Wei ◽  
Zhan ◽  
Liu ◽  
Tao ◽  
Yue
Keyword(s):  
Energy Storage ◽  
Wind Speed ◽  
Wind Turbine ◽  
Wind Power ◽  
Storage System ◽  
Energy Storage System ◽  
Maximum Power ◽  
Speed Ratio ◽  
Test Rig ◽  
Maximum Power Tracking

An innovative wind turbine with a particular hydraulic transmission and energy storage system is proposed in this paper. The purpose of applying the hydraulic transmission is to remove the gearbox and power converter of traditional wind turbine and cooperate on wind resource storing with the energy storage system. To overcome the volatility and intermittence shortcomings of wind and improve the output power quality, hydraulic accumulators are used as the energy storage device for wind energy regulation. The original gearbox and generator in the nacelle of a Micon 600 wind turbine were removed and replaced with a hydraulic pump to make a test rig for the investigation into maximum power point tracking (MPPT) of this hydraulic wind turbine concept. The mathematical model of the entire test system is established according to the four function modules. The MPPT control strategy based on the tip speed ratio (TSR) is adopted and a control system containing three closed-loop controls is designed to achieve maximum wind power extracting and produce constant frequency power generation. Ultimately, the dynamic response of rotor speed control is revealed under step change of wind speed and the maximum power tracking performance of the 600 kW hydraulic energy storage wind turbine test bench is simulated and analysed by subjecting to turbulent speed condition. The simulation results demonstrate that the rotor of the wind turbine can run at the expected optimal speed depending on wind speed, and the wind power utilization coefficient of the unit is stabilized at about the maximum value.

scholarly journals Implementation of Maximum Power Point Tracking Based on Variable Speed Forecasting for Wind Energy Systems

Processes ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 158 ◽  
Author(s):  
Yujia Zhang ◽  
Lei Zhang ◽  
Yongwen Liu
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Wind Turbine ◽  
Wind Velocity ◽  
Bat Algorithm ◽  
Energy System ◽  
Maximum Power ◽  
State Feedback Control ◽  
Control Technique ◽  
Point Tracking

In order to precisely control the wind power generation systems under nonlinear variable wind velocity, this paper proposes a novel maximum power tracking (MPPT) strategy for wind turbine systems based on a hybrid wind velocity forecasting algorithm. The proposed algorithm adapts the bat algorithm and improved extreme learning machine (BA-ELM) for forecasting wind speed to alleviate the slow response of anemometers and sensors, considering that the change of wind speed requires a very short response time. In the controlling strategy, to optimize the output power, a state feedback control technique is proposed to achieve the rotor flux and rotor speed tracking purpose based on MPPT algorithm. This method could decouple the current and voltage of induction generator to track the reference of stator current and flux linkage. By adjusting the wind turbine mechanical speed, the wind energy system could operate at the optimal rotational speed and achieve the maximal power. Simulation results verified the effectiveness of the proposed technique.

Adaptive State Feedback to Maximize the Power Capture and Reduce the Tower Motion of Wind Turbine in Partial Loading Operation

2015 ◽  
Author(s):  
Kaman Thapa Magar ◽  
Mark J. Balas
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
State Feedback ◽  
Tracking Error ◽  
Adaptive Controller ◽  
Stability And Convergence ◽  
Speed Ratio ◽  
Rotor Speed ◽  
Control Approach ◽  
Tip Speed Ratio

A direct adaptive control approach is used to track the tip speed ratio of wind turbine to maximize the power captured during the below rated wind speed operation. Assuming a known optimum value of tip speed ratio, the deviation of actual tip speed ratio from the optimum one is mathematically expressed as tip speed ratio tracking error. Since the actual tip speed ratio is not a measurable quantity, this expression for tip speed ratio tracking error is linearized and simplified to express it in terms of wind speed and rotor speed, where rotor speed can easily be measured whereas an estimator is designed to estimate the wind speed. Important results from stability and convergence analysis of the proposed adaptive controller with state estimation and state feedback is also presented. From the analysis it was observed that the adaptive disturbance tracking controller can be combined with adaptive state feedback to achieve other control objectives such as reducing the wind turbine structural loading. Hence, an adaptive state feedback scheme is also proposed to reduce wind turbine tower fore-aft and side-side motions.

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