Investigation of the Pitch Load of Large-Scale Wind Turbines Using Field SCADA Data

Fan Zhang, Juchuan Dai, Deshun Liu, Linxing Li and Xin Long
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Fan Zhang: College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China
Juchuan Dai: School of Mechanical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China
Deshun Liu: School of Mechanical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China
Linxing Li: School of Mechanical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China
Xin Long: XEMC Windpower Co., Ltd., Xiangtan 411000, China

Energies, 2019, vol. 12, issue 3, 1-20

Abstract: Variable pitch technology is an indispensable key technology of large-scale wind turbines. The reliable pitch mechanism is the basic guarantee for achieving variable pitch. At present, the main problem with the design and maintenance of the variable pitch mechanism is that the pitch load is not clearly known. This paper focuses on obtaining pitch load characteristics through extracting SCADA (Supervisory Control and Data Acquisition) data. Here, the pitch load refers to the resistance moment to be overcome when the wind turbine blade is rotated on its own axis. From the data collected by the SCADA system, although the edgewise moment and the flapwise moment cannot be obtained, the pitch torque (load) can be extracted indirectly. This provides data support for the research. Specifically, the pitch moment is obtained by indirect calculation of the pitch motor current. Then, the effects of the wind speed, rotor speed, hub angle and pitch angle on the pitch load are theoretically analyzed. To obtain more reliable results, data preprocessing algorithms are presented to consider the data filtering range, the elimination of abnormal values and data dispersity. Subsequently, the influence mechanisms of wind speed, rotor speed, hub angle and pitch angle on the pitch load are investigated in detail based on the SCADA data.

Keywords: wind turbines; SCADA data; pitch load; load characteristics (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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