Simulation Research of Wind Power Rotate Speed Based on Cloud Model of Fuzzy Reasoning PID Control

Abstract:

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.

• Periodical: Advanced Materials Research (Volumes 816-817)
• Pages: 857-861
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.816-817.857
• Online since: September 2013
• Authors: You Jun Yue, Yue Xu, Hui Zhao, Hong Jun Wang
• Keywords: Cloud Model, Fuzzy PID Control, Rotate Speed Control, RT-LAB Simulation, Wind Power

References

[1] Zhang Shangyun. Study on independent variable pitch wind turbine power control problem[D]. Taiyuan University of science and Technology, (2012).

[2] Huang Yourui, Qu liguo. PID controller parameter setting and implementation. Beijing: Science Press, 2012. 2.

[3] Han Chunrong. Research on variable pitch wind turbine control method[D]. North China Electric Power University, (2008).

[4] Wang Huibin, Xu Jianjun. Control strategy research on megawatt wind turbine based on a PID controller[J]. electrical switch, 2009, 3: 55-57.

[5] Cheng Qiming, Wang Yingfei, etc. Fuzzy control system simulation of variable pitch wind power[J]. Shanghai electric power college journals2012, 28(1): 71-76.

[6] Zhao Hui, Li Bin. Simulation research on rotated speed control based on fuzzy PID wind power system[J]. Grid and clean energy, 2011, 27(5): 63-65.

[7] Sun Tao, Qin Lufang. Wind data of pitch parameter self-tuning fuzzy PID control.

[8] Zhao Yongxiang, Xia Changliang. Nonlinear PID control of Variable speed constant frequency wind power system[J]．Proceedings of the CSEE, 2008, 11(28): 133-138.

[9] Hao Xiaohong, Cao Zheng. Temperature control of high vacuum environment simulation equipment based on cloud model compound PID[J]. Instrument Technique and Sensor, 2011, 10: 100-102.

[10] Li Deyi, Meng Haijun. Membership cloud and cloud generator[J]. Computer study and development, 1995, 32(6): 15-20.

[11] Zhang Xian-yong, Shu Jie, Wu Chang-hong. A Novel Maximum Wind Power Capture Strategy For The Doubly-Fed Induction Generator, Power and Energy Engineering Conference, 2009. APPEEC. Asia-Pacific 2009, Page(s): 1-4.

DOI: 10.1109/appeec.2009.4918097