Wind turbine generator yaw angle identification method and device based on Gaussian mixture model

A mixed Gaussian model and wind turbine technology, applied in wind power generation, wind turbines, engines, etc., can solve problems such as errors and inability to achieve established control objectives, and achieve strong universality, high theoretical research value and practical application value, Effects that are easy to apply practically

Active Publication Date: 2021-06-29
CHINA NAT SOFTWARE & SERVICE
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Problems solved by technology

[0004] In order to overcome the existing problem that the established control target cannot be achieved due to errors in the control of the yaw system, the present invention provides a method and device for identifying the yaw angle of the wind direction yaw system of a wind turbine

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  • Wind turbine generator yaw angle identification method and device based on Gaussian mixture model
  • Wind turbine generator yaw angle identification method and device based on Gaussian mixture model
  • Wind turbine generator yaw angle identification method and device based on Gaussian mixture model

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Embodiment Construction

[0059] In order to better understand the present invention, the technical solutions of the present invention will be further described below in combination with actual use cases and accompanying drawings.

[0060] This case is based on the SCADA operation data of the No. 4 wind turbine in Inner Mongolia Xinghe Wind Farm from January 2019 to April 2019 to verify the technical effectiveness of this method.

[0061] The data sampling interval of the data set used in this case is 5 minutes, the data time span is 4 months, and the total number of data entries is 29051. The detailed information and some data examples included in the data set to be analyzed related to the operation of the yaw system are shown in Table 1 and Table 2:

[0062] Table 1 Part of the actual data in the data set to be analyzed related to the operation of the yaw system

[0063] time wind speed active power Yaw error ... ... ... ... 2019-01-01 19:35:00 0.73846 -4.19961 9.06935 ...

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Abstract

The invention relates to a wind turbine generator yaw angle identification method and device based on a Gaussian mixture model. The method comprises the steps: reading operation data of a wind turbine generator in a certain period as an initial data set; screening out data when a yaw control system works normally based on the initial data set as a data set to be analyzed; determining whether a current fan is in a yaw state or not according to a yaw error-wind speed-power scatter diagram in the data set to be analyzed; performing interval division on the fan yaw error in the data set to be analyzed, drawing a frequency distribution histogram of a fan yaw error interval section, and further estimating a yaw direction of the fan; constructing a Gaussian mixture distribution model, and training the Gaussian mixture distribution model by using the data set to be analyzed; and obtaining the current yaw angle of the fan according to the mean value of a single Gaussian distribution model in the trained Gaussian mixture distribution model. According to the method, error identification of the fan yaw system is realized from the perspectives of data mining and statistical analysis, and the power generation performance of the wind turbine generator can be indirectly improved.

Description

technical field [0001] The invention relates to the field of identification and detection of yaw angle faults of wind power generators, in particular to a data-driven method and device for identifying wind direction yaw angles of wind power generators. Background technique [0002] In the current process of social development, compared with traditional fossil energy, clean, low-pollution, sustainable renewable wind power has gradually emerged in the energy field. Due to the harsh environment of wind farms, wind turbines need to operate under various wind conditions for a long time. At present, the wind power industry has gradually exposed a series of problems, especially the problem that the control system error of in-service wind turbines leads to the performance degradation of wind turbines. How to improve the operating performance of wind turbines in service under the influence of different wind conditions and wind turbine control system errors is one of the main problems...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F03D7/02F03D7/04
CPCF03D7/0224F03D7/045F03D7/046F05B2260/70F05B2270/1033F05B2270/402Y02E10/72
Inventor 安鸯闫相臣钟晓刚钱峰刘静思
Owner CHINA NAT SOFTWARE & SERVICE
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