Wind power inertial support for inter-area oscillations suppression with fuzzy controller in varying load conditions

Author(s):  
L. B. F. Leite ◽  
H. Siguerdidjane ◽  
H. D. Mathur ◽  
Y. K. Bhateshvar
2019 ◽  
Vol 88 ◽  
pp. 258-267 ◽  
Author(s):  
C.M. Rocha-Osorio ◽  
J.S. Solís-Chaves ◽  
Lucas L. Rodrigues ◽  
J.L. Azcue Puma ◽  
A.J. Sguarezi Filho

2013 ◽  
Vol 816-817 ◽  
pp. 857-861
Author(s):  
You Jun Yue ◽  
Yue Xu ◽  
Hui Zhao ◽  
Hong Jun Wang

When wind turbine works under rated wind speed, we often use fuzzy controller to control rotate speed and keep the best sharp blade speed to achieve the aim of capture the largest wind power. Due to the nonlinearity of wind power, the uncertainty of timely change and other factors, though fuzzy PID control is the combination of fuzzy control and PID control, which can solve the problem of nonlinear very well, it focuses only on the fuzziness, and fails to consider the random error brought by wind speed change. Therefore this paper designed fuzzy reasoning PID controller based on cloud model on the base of analyzing parameters of wind power and advantage as well as shortage of both PID control and fuzzy control. Then start the RT-LAB simulation platform. The simulation result proved that this method can effectively depress the overshoot. And its stability and dynamic speed response is better than PID control and fuzzy control. It achieved ideal result.


2019 ◽  
Vol 13 (9) ◽  
pp. 10
Author(s):  
Xiaoming Rui ◽  
Lubing Xie ◽  
Xiaochao Fan ◽  
Changkai Xiu

To solve the problem of grid-connected control of differential speed-regulating wind turbines, the wind turbine, transmission chain, speed-regulating motor, and generator model of the unit are constructed using the MATLAB/Simulink platform. The differential speed-regulating control system is designed on the basis of slip-frequency and fuzzy control theories. The speed control function and characteristics on maximum power tracing of wind turbine is tested via simulation. Meanwhile, the experimental bench for the differential speed-regulating wind power system is set up. Test results indicate that the generator speed is controlled by speed-regulating motor with output voltage and frequency that are approximately synchronized with those of power grid under idle load condition. The maximum wind-power utilization coefficient is maintained by fuzzy controller under the rated wind speed. Thus, the accuracy and efficiency of the designed control system is proven and provide important implications for further investigations on the grid-connected control of wind turbines with differential speed regulation.


2010 ◽  
Vol 171-172 ◽  
pp. 421-424
Author(s):  
Xiu He Lu ◽  
Yong Qiang Wei

The methods of vector transform and PI controller are used in no-load cutting-in control scheme of the system of doubly fed induction wind power generator, but the control methods depend on the parameters of electronic machine strongly. For raising the steady of wind power generating system, this paper designs a fuzzy PI controller which with strong robustness and fast dynamic response of fuzzy controller and better steady precision of PI controller. The result of simulation indicates that the fuzzy PI controller not only shorts the process of no-load cutting-in, but also has strong robustness and fast dynamic response, it is an ideal cutting-in control strategy.


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