Wind Turbine PI Controller's Optimization Using PSO Algorithm

2018 ◽  
Author(s):  
Mariam Chouket ◽  
Achraf Abdelkafi ◽  
Lotfi Krichen
Keyword(s):  
Wind Turbine ◽  
Pso Algorithm

Design of PSO Based PI Controller for Wind Turbine Systems

2013 ◽  
Vol 483 ◽  
pp. 529-532
Author(s):  
Jau Woei Perng ◽  
Guan Yan Chen ◽  
Der Min Tsay ◽  
Jao Hwa Kuang ◽  
Bor Jeng Lin ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Operating Parameter ◽  
Pso Algorithm ◽  
Turbine Generator ◽  
Optimal Operating ◽  
Wind Turbine Generator ◽  
Artificial Learning ◽  
Control Stability ◽  
The Stability ◽  
Operating Points

This paper implements a strategy to obtain the proportional-integral (PI) optimal operating point and find the description of the stability regions in the parameters space. In order to do this, the particle swarm optimization (PSO) algorithm has been used in this study. The intelligent algorithm which is artificial learning mechanism could find optimal operating points and generates the function of the best operating parameter in the PI control stability region. Then the graphical method can provide boundaries of the PI type controller space for close-loop wind turbine generator (WTG) systems. The proposed techniques are presented by using simulation results to the WTG model.

scholarly journals Optimized designing of PID controller for variable speed wind turbine systems using PSO algorithm

2015 ◽  
Vol 37 ◽  
pp. 397
Author(s):  
Somayeh Abdolzadeh ◽  
Seyed Mohammad Ali Mohammadi
Keyword(s):  
Wind Turbine ◽  
Pid Controller ◽  
High Performance ◽  
Controller Design ◽  
Pso Algorithm ◽  
Variable Speed ◽  
Stable Convergence ◽  
Wind Turbine System ◽  
Variable Speed Wind Turbine ◽  
Wide Range

The PID controller design is a very popular method for controlling industrial processes and due to its simple structure and effective operation; it is used in a wide range of industries. In this paper, a method is provided for setting up the PID controller and Particle swarm optimization (PSO) algorithm is used to design a variable speed wind turbine system. The provided method has advantages such as easy implementation, stable convergence characteristics and high performance in computing. Finally the results are displayed.

scholarly journals Optimal Power Dispatch of an Offshore Wind Farm under Generator Fault

2019 ◽  
Vol 9 (6) ◽  
pp. 1184 ◽  
Author(s):  
Kuichao Ma ◽  
Jiangsheng Zhu ◽  
Mohsen Soltani ◽  
Amin Hajizadeh ◽  
Zhe Chen
Keyword(s):  
Power Generation ◽  
Wind Turbine ◽  
Power Loss ◽  
Wind Farm ◽  
Wind Farms ◽  
Pso Algorithm ◽  
Offshore Wind ◽  
Offshore Wind Farm ◽  
Optimal Power ◽  
Power Dispatch

For offshore wind farms, the power loss caused by the wake effect is large due to the large capacity of the wind turbine. At the same time, the operating environment of the offshore wind farm is very harsh, and the cost of maintenance is higher than that of the onshore wind farm. Therefore, it is worthwhile to study through reasonable control how to reduce the wake loss of the wind farm and minimize the losses caused by the fault. In this paper, the Particle Swarm Optimization (PSO) algorithm is used to optimize the active power dispatch of wind farms under generator cooling system faults. The optimization objectives include avoiding the further deterioration of the generator fault, reducing unnecessary power loss of the faulty wind turbine, tracking the power demand from the Transmission System Operator (TSO), and reducing the power fluctuation caused by the PSO algorithm. The proposed optimal power dispatch strategy was compared with the two generally-used fault-handling methods and the proportional dispatch strategy in simulation. The result shows that the proposed strategy can improve the power generation capacity of the wind farm and achieve an efficient trade-off between power generation and fault protection.

scholarly journals Predicting the Extreme Loads in Power Production of Large Wind Turbines Using an Improved PSO Algorithm

2019 ◽  
Vol 9 (3) ◽  
pp. 521 ◽  
Author(s):  
Caicai Liao ◽  
Kezhong Shi ◽  
XiaoLu Zhao
Keyword(s):  
Control System ◽  
Wind Turbine ◽  
Pitch Angle ◽  
Bending Moment ◽  
Pso Algorithm ◽  
Power Production ◽  
Bending Moments ◽  
Rotor Speed ◽  
Blade Root ◽  
Extreme Loads

Predicting the extreme loads in power production for the preliminary-design of large-scale wind turbine blade is both important and time consuming. In this paper, a simplified method, called Particle Swarm Optimization-Extreme Load Prediction Model (PSO-ELPM), is developed to quickly assess the extreme loads. This method considers the extreme loads solution as an optimal problem. The rotor speed, wind speed, pitch angle, yaw angle, and azimuth angle are selected as design variables. The constraint conditions are obtained by considering the influence of the aeroelastic property and control system of the wind turbine. An improved PSO algorithm is applied. A 1.5 MW and a 2.0 MW wind turbine are chosen to validate the method. The results show that the extreme root load errors between PSO-ELPM and FOCUS are less than 10%, while PSO-ELPM needs much less computational cost than FOCUS. The distribution of flapwise bending moments are close to the results of FOCUS. By analyzing the loads, we find that the extreme flapwise bending moment of the blade root in chord coordinate (CMF_ROOT) is largely reduced because of the control system, with the extreme edgewise bending moment of the blade root in chord coordinate (CME_ROOT) almost unchanged. Furthermore, higher rotor speed and smaller pitch angle will generate larger extreme bending moments at the blade root.

scholarly journals Optimal DTC Control Strategy of DFIG Using Variable Gain PI and Hysteresis Controllers Adjusted by PSO Algorithm

2019 ◽  
Vol 64 (1) ◽  
pp. 74-86
Author(s):  
Mokhtar Amer ◽  
Abdallah Miloudi ◽  
Fatiha Lakdja
Keyword(s):  
Wind Turbine ◽  
Control Strategy ◽  
High Performance ◽  
Direct Torque Control ◽  
Nonlinear Problems ◽  
Pso Algorithm ◽  
Torque Control ◽  
Optimal Control Strategy ◽  
Variable Gain ◽  
Point Tracking

This paper presents an optimal Direct Torque Control (DTC) strategy for Doubly Fed Induction Generator based wind turbine. The proposed strategy is considered based on Particle Swarm Optimization (PSO) Algorithm. The PSO is found to be robust and fast in solving nonlinear problems. Motivation for application of PSO approach is to overcome the limitation of the conventional controllers design, which cannot guarantee satisfactory control performance when designed by trial and error. In this work PSO algorithm was used to adjust the hysteresis torque and flux comparators bandwidths and to tune the parameters of Variable Gain PI (VGPI) controller designed for Maximum Power Point Tracking (MPPT) speed control of wind turbine to ensure high performance torque control. The optimal control strategy is considered in detail and it is shown that the use of the optimized controllers reduces rotor flux and electromagnetic torque ripples and improves the system dynamic performances. The effectiveness of the proposed direct torque control based on PSO algorithm (optimal DTC) method is illustrated through simulations on 1.5 MW DFIG based wind turbine. Simulation results illustrate the improved performances of optimal DTC compared with the conventional DTC.

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