Mr. Bing Zeng Profile

Bing Zeng

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Proceedings Article | 13 November 2019 Paper

Research of open-circuit fault simulation and diagnosis for wind power converter

Wei Zhang, Qihui Ling, Qiancheng Zhao, Xian Wang, Bing Zeng

Proceedings Volume 11343, 113430W (2019) https://doi.org/10.1117/12.2548535

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In this paper, the converter of a 2MW direct-driven permanent-magnet wind turbine is researched for exactly locating the open-circuit fault of wind power converter. The structure and fault characteristics of the converter is analysed, and open-circuit fault location of the converter is implemented by defining a fault feature variable based on grid-side current signal. Based on Matlab/Simulink platform, the fault simulation model of wind power converter is built, the waveforms changes of grid-side current and fault feature variables are analysed under different fault conditions. The simulation results show the feasibility and effectiveness of the model. It provides a fast-position diagnosis method for the open-circuit fault of wind power converter, and has the certain application value for project.

Proceedings Article | 13 November 2019 Paper

Analysis of temperature anomaly of pitch motor based on SCADA data

Lin Gui, Qiancheng Zhao, Qihui Ling, Anfeng Zhu, Xian Wang, Bing Zeng

Proceedings Volume 11343, 1134316 (2019) https://doi.org/10.1117/12.2548688

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The working state of the pitch motor has a great influence on the operation of the wind turbine. In this paper, the 2MW wind turbine is taken as the research object. Based on the historical operation data of the wind turbine, the influencing factors of the pitch motor temperature deviating from the normal range are analyzed. First, the range of the pitch motor temperature is counted by the quartile method. Then, using Relief-F for feature selection, the characteristic parameters that have a great influence on the pitch motor temperature are screened out. According to the selected characteristic parameters, combined with the historical operation data of the wind turbine, the influencing factors of the abnormal temperature of the pitch motor are analyzed. Through analysis, it is found that the blade pitch angle, the pitch motor current and the battery box temperature show obvious trend changes in the period before and after the abnormality of the pitch motor temperature. They are related factors that affect the abnormal of the pitch motor temperature. The main meaning of this paper is to screen the characteristic parameters that affect the pitch motor temperature through the Relief-F algorithm. The selected characteristic parameters are representative and can be used as the input parameters of the prediction model of the pitch motor temperature. It can better deal with the difficult problem of parameter selection for early warning model modeling.

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