Paper
13 November 2019 Research on wind turbine stator iron-core temperature calculation model
Mingdai Yang, Qiancheng Zhao, Xian Wang, Fang Hu, Xuebing Yang
Author Affiliations +
Proceedings Volume 11343, Ninth International Symposium on Precision Mechanical Measurements; 113431B (2019) https://doi.org/10.1117/12.2548700
Event: International Symposium on Precision Mechanical Measurements 2019, 2019, Chongqing, China
Abstract
The aim of calculating the standard value of the stator iron-core temperature of the wind turbine is to predict the wind turbine fault. At first, Simplify the calculation model of turbo generator stator iron-core temperature which temperature rise mechanism similar to that of wind turbine. The model uses the generator active power, reactive power, voltage and other operating parameters to calculate the generator stator iron-core temperature. Second, the parameters in the model were identified by the first year’s normal rated state operation data of the wind turbine collected by the wind farm SCADA system. Then, the model obtained after identification can calculate the standard value of the stator iron-core temperature under the rated working state of the wind turbine. Finally, If the standard value calculated by the model is correct, the average difference between the standard value and the measured value is related to the wind turbine failure alarm information. After calculate the standard value of the stator iron-core temperature using the fifth year’s rated state operation data, it’s easy to see that when the average difference between the standard value and the measured value is large, the wind turbine generates an alarm fault message in the adjacent time period and when the average difference between the standard value and the measured value is small, the wind turbine runs normally in the adjacent time period. This correlation indicates that the simplified model can correctly calculate the stator iron-core temperature of the wind turbine.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mingdai Yang, Qiancheng Zhao, Xian Wang, Fang Hu, and Xuebing Yang "Research on wind turbine stator iron-core temperature calculation model", Proc. SPIE 11343, Ninth International Symposium on Precision Mechanical Measurements, 113431B (13 November 2019); https://doi.org/10.1117/12.2548700
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KEYWORDS
Wind turbine technology

Data modeling

Failure analysis

Temperature metrology

Analytical research

Data acquisition

Standards development

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