wind turbine tower vibration modeling and monitoring by the nonlinear state estimation technique (nset)风力发电机塔振动建模和监视的非线性状态估计技术(nset).pdf

Energies 2012, 5, 5279-5293; doi:10.3390/en5125279 OPEN ACCESS energies ISSN 1996-1073 /journal/energies Article Wind Turbine Tower Vibration Modeling and Monitoring by the Nonlinear State Estimation Technique (NSET) Peng Guo 1,* and David Infield 2 1 School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China 2 Institute for Energy and Environment, Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow G1 1XQ, UK; E-Mail: david.infield@strath.ac.uk * Author to whom correspondence should be addressed; E-Mail: huadiangp@163.com; Tel./Fax: +86-10-6177-2654. Received: 7 September 2012; in revised form: 29 November 2012 / Accepted: 30 November 2012 / Published: 14 December 2012 Abstract: With appropriate vibration modeling and analysis the incipient failure of key components such as the tower, drive train and rotor of a large wind turbine can be detected. In this paper, the Nonlinear State Estimation Technique (NSET) has been applied to model turbine tower vibration to good effect, providing an understanding of the tower vibration dynamic characteristics and the main factors influencing these. The developed tower vibration model comprises two different parts: a sub-model used for below rated wind speed; and another for above rated wind speed. Supervisory control and data acquisition system (SCADA) data from a single wind turbine collected from March to April 2006 is u