Wavelet Packet Diagnosis for Wind Turbine and Vector Control for Wind Power Generation System

Abstract:

Wavelet transform was a signal analysis method from domain of time-frequency which was better in the wavelet packet, vibration signal was a carrier of fault features of the wind turbine driving chain, can effectively reflect most of the fault information of the wind turbine drive train. Wavelet transform for feature extraction was proposed as the characteristics of wind turbines in the presence of a large number of transient and non-stationary signals. The SCIG vector control system was designed and the simulation result shows this control system can realize optimal control for large wind energy conversion system which can effectively applied into SCIG wind power generation system for system modification.

• Periodical: Advanced Materials Research (Volumes 724-725)
• Pages: 641-644
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.724-725.641
• Online since: August 2013
• Authors: Zhao Ran Hou
• Keywords: Fault Diagnosis, Vector Control (VC), Vibration Characteristic, Wavelet Packet, Wind Power Generation System (WPGS)

References

[1] JI Zhi-cheng, FENG Hai-ying, SHEN yan-xia. The Active Pitch Control Research of Wind Turbine Based on Feedback Linearzation Method [J]. Small & Special Electrical Machines, 2011, 39 (11):40-43

[2] ZHANG Run-he, LIU yong-he, CUI li-li. Direct feedback linearization control of permanent magnet synchronous motor servo system [J]. Small & Special Electrical Machines, 2006, 34(12):26-28

[3] WANG WU. Simulation of Mobile Welding Robot with Variable Structure Control. 2010 Asia-Pacific Conference on Innovative Computing and Communication, Information Technology and Ocean Engineering (CICC-ITOE 2010) , 2010, pp.106-109.

DOI: 10.1109/cicc-itoe.2010.35

[4] XIA An-jun, HU Shu-ju, XU Hong-hua. Research on dynamic power curve control strategy of MPPT for wind turbine. ELECTRIC DRIVE, 2011(12): pp.61-65.

[5] Wang Wu, Wang Hong-ling, Bai Zheng-min. Fault Diagnosis of Three Level Inverter Based on Improved Neural Networks[J]. Lecture Notes in Electrical Engineering, 2011, Vol.97, pp.55-62

DOI: 10.1007/978-3-642-21697-8_8

[6] TAN Xun-qiong, TANG Jie, WU Zheng-qiu . 10 MW variable speed direct-driven wind turbines modeling and Matlab simulation [J]. Power System Protection and Control, 2011,39(24):31-37

[7] Wang Wu, Su Liang-yu. Application of CMAC-PID Compound Control in PMLSM Servo System[J]. Advanced Materials Research Vols.341-342(2012), pp.780-784

DOI: 10.4028/www.scientific.net/amr.341-342.780

[8] KONG Yi-gang, WANG Zhi-xin. Design and simulation of fuzzy sliding mode robust controller for large wind generating unit [J]. Proceedings of CSEE.2008, 28(14):136-142