scholarly journals Adaptive Pitch Controller of a Large-Scale Wind Turbine Using Multi-Objective Optimization

2021 ◽  
Vol 11 (6) ◽  
pp. 2844
Author(s):  
Manuel Lara ◽  
Juan Garrido ◽  
Mario L. Ruz ◽  
Francisco Vázquez
Keyword(s):  
Wind Turbine ◽  
Pitch Angle ◽  
Large Scale ◽  
Control Structure ◽  
Pi Controller ◽  
Wind Pattern ◽  
Multi Objective ◽  
Gain Compensation ◽  
Turbine Speed ◽  
Adaptive Feedforward

This paper deals with the control problems of a wind turbine working in its nominal zone. In this region, the wind turbine speed is controlled by means of the pitch angle, which keeps the nominal power constant against wind fluctuations. The non-uniform profile of the wind causes tower displacements that must be reduced to improve the wind turbine lifetime. In this work, an adaptive control structure operating on the pitch angle variable is proposed for a nonlinear model of a wind turbine provided by FAST software. The proposed control structure is composed of a gain scheduling proportional–integral (PI) controller, an adaptive feedforward compensation for the wind speed, and an adaptive gain compensation for the tower damping. The tuning of the controller parameters is formulated as a Pareto optimization problem that minimizes the tower fore-aft displacements and the deviation of the generator speed using multi-objective genetic algorithms. Three multi-criteria decision making (MCDM) methods are compared, and a satisfactory solution is selected. The optimal solutions for power generation and for tower fore-aft displacement reduction are also obtained. The performance of these three proposed solutions is evaluated for a set of wind pattern conditions and compared with that achieved by a classical baseline PI controller.

A Robust Fuzzy-PI Pitch Angle Controller for Wind Turbine Systems

2015 ◽  
Vol 793 ◽  
pp. 412-416
Author(s):  
Shaon Ahmed ◽  
Mohd. Abdur Rashid ◽  
S.B. Yaakob ◽  
F. Malek
Keyword(s):  
Wind Turbine ◽  
Pitch Angle ◽  
Real Life ◽  
Pi Controller ◽  
Pi Control ◽  
Wind Gust ◽  
Wind Condition ◽  
Membership Functions ◽  
Fuzzy Pi Controller ◽  
Excessive Stress

This paper presents a robust Fuzzy-PI controller to adjust the pitch angle of a grid integrated wind turbine. The pitch angle mechanism of a turbine blade allows it rotate on its own axis so that it can protect itself from high wind gust and release excessive stress from the mechanical structure. Although a classical PI controller has been widely used for this purpose, they cannot assure generator stability. The proposed Fuzzy-PI control system uses three control inputs and nine membership functions to make decision on pitch angle output. A wind speed model is devised to simulate real life turbulent wind condition. The simulation results show that the Fuzzy-PI controller is more suitable for turbine operation if it is subjected to heavy turbulence.

scholarly journals Optimal control of pitch angle of large wind turbine based on speed differential

2020 ◽  
Vol 194 ◽  
pp. 03008
Author(s):  
Xin GAO ◽  
Xiaoyu WANG ◽  
Jiahuan HE
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Power Output ◽  
Pitch Angle ◽  
Turbine Blades ◽  
Energy Utilization ◽  
Feedback Signal ◽  
Wind Turbine Blades ◽  
Low Wind Speed ◽  
Turbine Speed

In order to improve the power output of wind turbine at low wind speed, this paper studies the aerodynamic performance of wind turbine blades at different installation angles. It is found that the optimal pitch angle of wind turbine can be switched between different installation angles when wind speed changes by introducing wind turbine speed differential feedback signal in PI controller of variable pitch, so as to track the optimal wind energy utilization coefficient The purpose of improving wind turbine power output. In order to verify the reliability of the analysis results, bladed is used to simulate the model of a 1.5MW unit with pitch differential control signal. At the same time, the research results are applied to the actual operation of the unit. The results show that the power curve of the wind turbine unit at low wind speed can be improved and the annual power generation can be increased by 1.24%.

scholarly journals Black Widow Optimization-Based Optimal PI-Controlled Wind Turbine Emulator

2020 ◽  
Vol 12 (24) ◽  
pp. 10357
Author(s):  
K. Premkumar ◽  
M. Vishnupriya ◽  
Thanikanti Sudhakar Babu ◽  
B. V. Manikandan ◽  
T. Thamizhselvan ◽  
...  
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Pitch Angle ◽  
Low Cost ◽  
Bat Algorithm ◽  
Pi Controller ◽  
Step Change ◽  
Operating Conditions ◽  
Black Widow ◽  
Cost System

In this article, the parameters of the proportional-integral (PI) controller of the wind turbine (WT) emulator, i.e., proportional and integral gain of the PI controller, are optimized using a black widow optimization algorithm (BWOA). The proposed system is developed and analyzed using MATLAB/Simulink environment. The performance of the BWOA optimized PI controller is compared with a BAT algorithm, particle swarm optimization, and genetic algorithm optimized PI controller to measure the effectiveness of the proposed control system. The developed system is tested for different operating conditions such as static wind speed settings, static pitch angle conditions, step-change in wind speed settings, and step-change in pitch angle settings. Finally, the proposed system is realized in real-time by hardware experimentations. The results of the experimentation are compared with simulation results as well. The presented simulation and hardware result shows good agreement, which confirms the effectiveness of the proposed method. Thereby, the proposed optimization-based PI-controlled wind emulator can be recommended for emulating the characteristics of any type of WT with a low-cost system.

scholarly journals Hybrid Pitch Angle Controller Approaches for Stable Wind Turbine Power under Variable Wind Speed

Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3622 ◽  
Author(s):  
Md Rasel Sarkar ◽  
Sabariah Julai ◽  
Chong Wen Tong ◽  
Moslem Uddin ◽  
M.F. Romlie ◽  
...  
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Output Power ◽  
Pitch Angle ◽  
Pid Controller ◽  
Large Scale ◽  
Wind Speeds ◽  
Wide Range ◽  
Fast Wind ◽  
Simple Implementation

The production of maximum wind energy requires controlling various parts of medium to large-scale wind turbines (WTs). This paper presents a robust pitch angle control system for the rated wind turbine power at a wide range of simulated wind speeds by means of a proportional–integral–derivative (PID) controller. In addition, ant colony optimization (ACO), particle swarm optimization (PSO), and classical Ziegler–Nichols (Z-N) algorithms have been used for tuning the PID controller parameters to obtain within rated stable output power of WTs from fluctuating wind speeds. The proposed system is simulated under fast wind speed variation, and its results are compared with those of the PID-ZN controller and PID-PSO to verify its effeteness. The proposed approach contains several benefits including simple implementation, as well as tolerance of turbine parameters and several nonparametric uncertainties. Robust control of the generator output power with wind-speed variations can also be considered a significant advantage of this strategy. Theoretical analyses, as well as simulation results, indicate that the proposed controller can perform better in a wide range of wind speed compared with the PID-ZN and PID-PSO controllers. The WT model and hybrid controllers (PID-ACO and PID-PSO) have been developed in MATLAB/Simulink with validated controller models. The hybrid PID-ACO controller was found to be the most suitable in comparison to the PID-PSO and conventional PID. The root mean square (RMS) error calculated between the desired power and the WT’s output power with PID-ACO is found to be 0.00036, which is the smallest result among the studied controllers.

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 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>

Overview of Subsynchronous Oscillation in Grid-connected Wind Farm

2020 ◽  
Vol 13 (7) ◽  
pp. 969-979
Author(s):  
Xu Pei-Zhen ◽  
Lu Yong-Geng ◽  
Cao Xi-Min
Keyword(s):  
Power Systems ◽  
Wind Turbine ◽  
Large Scale ◽  
Wind Farm ◽  
Wind Farms ◽  
Induction Generator ◽  
Future Research ◽  
Stable Operation ◽  
Subsynchronous Oscillation ◽  
Different Types

Background: Over the past few years, the subsynchronous oscillation (SSO) caused by the grid-connected wind farm had a bad influence on the stable operation of the system and has now become a bottleneck factor restricting the efficient utilization of wind power. How to mitigate and suppress the phenomenon of SSO of wind farms has become the focus of power system research. Methods: This paper first analyzes the SSO of different types of wind turbines, including squirrelcage induction generator based wind turbine (SCIG-WT), permanent magnet synchronous generator- based wind turbine (PMSG-WT), and doubly-fed induction generator based wind turbine (DFIG-WT). Then, the mechanisms of different types of SSO are proposed with the aim to better understand SSO in large-scale wind integrated power systems, and the main analytical methods suitable for studying the SSO of wind farms are summarized. Results: On the basis of results, using additional damping control suppression methods to solve SSO caused by the flexible power transmission devices and the wind turbine converter is recommended. Conclusion: The current development direction of the SSO of large-scale wind farm grid-connected systems is summarized and the current challenges and recommendations for future research and development are discussed.

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