scholarly journals Implementation of Intelligent Algorithms for Pitch Angle and Output Power Control of Dfig Wind Turbine System

2019 ◽  
Vol 8 (2) ◽  
pp. 2046-2050
Keyword(s):  
Wind Turbine ◽  
Output Power ◽  
Pitch Angle ◽  
Energy System ◽  
Pi Controller ◽  
Intelligent Algorithms ◽  
Wind Turbine System ◽  
Learning Techniques ◽  
Input Control ◽  
Blade Pitch Angle

The blade pitch angle is the vital part of wind energy system in getting desired output power. PID controller with the modified gains is considered as flexible and is administered for the regulation of blade pitch angle of turbine in this paper because of its lucidity, intermittent in its functionality and with easy usage in control system. FLC has powerful approach for collecting wind turbine response over PI controller where the speed and generator output power acting as input control variables for FLC with which these variables are evenly responsible to maintain proper aerodynamic power and its speed at rated value without any disturbance in output power and at gust speeds, the intelligent algorithms are been implemented to control the pitch angle upon adjusting the angle between the chord line of blades by adopting to new learning techniques as per the data collected. ANFIS had both the features of ANN and Fuzzy Logic Controllers by using Particle Swarm Optimization which gives the better response over the typical PI controller. This paper gives the information of supremacy of FOPID controller with PSO tuning over the other existing controllers. The dominance of the proposed method is made evident with the simulation results using 9MW WTS using MATLAB Simulink.

scholarly journals Output power levelling for DFIG wind turbine system using intelligent pitch angle control

Automatika ◽  
2017 ◽  
Vol 58 (4) ◽  
pp. 363-374 ◽  
Author(s):  
Ehsan Hosseini ◽  
Ghazanfar Shahgholian
Keyword(s):  
Wind Turbine ◽  
Output Power ◽  
Pitch Angle ◽  
Wind Turbine System

scholarly journals Design of pitch angle controller for wind turbine based on pi neurofuzzy model

2019 ◽  
Vol 15 (3) ◽  
pp. 1662
Author(s):  
Ammar A. Aldair ◽  
Mofeed T. Rashid ◽  
Ali F. Halihal ◽  
Mastaneh Mokayef
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Control Systems ◽  
Output Power ◽  
Pitch Angle ◽  
Rotation Speed ◽  
Electrical Power ◽  
Pi Controller ◽  
Speed Controller ◽  
Aerodynamic Torque

<p>Aerodynamic torque of wind turbine is adjusted by controlling the pitch angle of the blades of the turbine when the wind speed is higher than rated wind speed. So that, in the recent research in this field, the pitch angle controller becomes dominated controller type for extracting the electrical power from the wind energy. Three types of the pitch angle control systems are designed to construct the speed controller: conventional PI controller, Neurofuzzy controller and modified PI-Neurofuzzy controller. The results are shown that the modified PI-Neurofuzzy controller is more efficient than the others because the rotation speed of generator is kept almost constant. It means that the generated output power has remained constant at maximum power limited even the wind speed rises up the rated wind speed.</p>

From Passive to Active Pitch Regulation of Wind Turbines: Optimization Method With Numerical Validation

2015 ◽  
Author(s):  
Ali Al-Abadi ◽  
YouJin Kim ◽  
Jin-young Park ◽  
Hyunjin Kang ◽  
Özgür Ertunc ◽  
...  
Keyword(s):  
Numerical Simulations ◽  
Wind Turbine ◽  
Control Strategy ◽  
Pitch Angle ◽  
Flow Behavior ◽  
Optimization Method ◽  
Horizontal Axis Wind Turbine ◽  
Pitch Regulation ◽  
Blade Pitch Angle ◽  
Turbine Model

An optimization method that changes the control strategy of the Horizontal Axis Wind Turbine (HAWT) from passive- to active-pitch has been developed. The method aims to keep the rated power constant by adjusting the blade pitch angle while matching the rotor and the drive torques. The method is applied to an optimized wind turbine model. Further, numerical simulations were performed to validate the developed method and for further investigations of the flow behavior over the blades.

Design of Small Wind Turbine

2008 ◽  
Author(s):  
R. S. Amano ◽  
Ryan Malloy
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Wind Direction ◽  
Pitch Angle ◽  
Bridge Circuit ◽  
Small Wind Turbine ◽  
Swash Plate ◽  
Wind Vane ◽  
Blade Pitch Angle

The project has been completed, and all of the aforementioned objectives have been achieved. An anemometer has been constructed to measure wind speed, and a wind vane has been built to sense wind direction. An LCD module has been acquired and has been programmed to display the wind speed and its direction. An H-Bridge circuit was used to drive a gear motor that rotated the nacelle toward the windward direction. Finally, the blade pitch angle was controlled by a swash plate mechanism and servo motors installed on the generator itself. A microcontroller has been programmed to optimally control the servo motors and gear motor based on input from the wind vane and anemometer sensors.

A novel self-tuning PI controller for a DFIG-based wind turbine system

2019 ◽  
Vol 10 (2) ◽  
pp. 176
Author(s):  
Shubhranshu Mohan Parida ◽  
Pravat Kumar Rout ◽  
Sanjeeb Kumar Kar
Keyword(s):  
Wind Turbine ◽  
Pi Controller ◽  
Wind Turbine System ◽  
Self Tuning

Pitch angle control using hybrid controller for all operating regions of SCIG wind turbine system

2014 ◽  
Vol 70 ◽  
pp. 197-203 ◽  
Author(s):  
Minh Quan Duong ◽  
Francesco Grimaccia ◽  
Sonia Leva ◽  
Marco Mussetta ◽  
Emanuele Ogliari
Keyword(s):  
Wind Turbine ◽  
Pitch Angle ◽  
Hybrid Controller ◽  
Wind Turbine System ◽  
Operating Regions

Near Wake Regime Study on Wind Turbine Blade Tip Vortex

2019 ◽  
Author(s):  
Ojing Siram ◽  
Niranjan Sahoo
Keyword(s):  
Wind Turbine ◽  
Strouhal Number ◽  
Vortex Shedding ◽  
Flow Condition ◽  
Pitch Angle ◽  
Tip Vortex ◽  
Near Wake ◽  
Helical Vortex ◽  
Blade Tip ◽  
Blade Pitch Angle

Abstract In the present research article results on wind turbine blade tip vortex have been presented, the measurements have been done behind a model scale of horizontal axis wind turbine rotor. The rotor used for flow characterization is a three-bladed having NACA0012 cross-section, the study has been performed for low range tip speed ratio of 0–2 and wind speeds range of 3–6 m/s. The investigation has been conducted specifically to near wake regime, which is often expressed as the region of regular helical vortex structures. Although this nature of regular helical vortex pattern has always been a question of debate with respect to changes in the flow condition, rotor geometry and point of measurements. A systematic experiment was done mainly on the frequency of vortex shedding through hot-wire anemometry (HWA), and the corresponding frequency is express in terms of Strouhal number. Present article work within near wake regime includes tip vortex shedding stability analysis for different blade pitch angle and flow condition. From the systematic experimental observation, the evaluated data indicate that the Strouhal number has an incremental trend when the blade pitch angle is close to 40°, and above it inconsistency in frequency response is observed.

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.

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