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Wind turbine variable-pitch system fault intelligent early warning method

A pitch system, wind turbine technology, applied in wind turbines, wind turbine monitoring, engines, etc., can solve the problems of high false alarm rate, high early warning false alarm rate, and the early warning method cannot be effectively applied, and achieve early warning Accurate and avoid the effect of high false alarm rate of early warning

Active Publication Date: 2021-01-15
HUANENG POWER INTERNATIONAL +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Such an early warning scheme has certain shortcomings, resulting in a high rate of early warning false alarms, and an excessively high rate of false alarms will lead to the failure of effective application of early warning methods

Method used

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  • Wind turbine variable-pitch system fault intelligent early warning method
  • Wind turbine variable-pitch system fault intelligent early warning method
  • Wind turbine variable-pitch system fault intelligent early warning method

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Embodiment Construction

[0024] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0025] like figure 1 As shown, an intelligent early warning method for a wind turbine pitch system failure of the present invention obtains the given pitch speeds of 1#, 2#, and 3# blades from the second-level data of the wind farm data acquisition and monitoring control system (SCADA system) V 10 , V 20 , V 30 And 1#, 2#, 3# blade feedback pitch speed V 11 , V 21 , V 31 , calculate 1#, 2#, 3# blade pitch following error e 1 、e 2 、e 3 :

[0026] e 1 =|V 10 -V 11 |

[0027] e 2 =|V 20 -V 21 |

[0028] e 3 =|V 30 -V 31 |

[0029] By comparing 1#, 2#, 3# blade pitch following error e 1 、e 2 、e 3 , determine the number of the blade with the largest pitch following error, and calculate the average value E of the pitch following error of the three blades at the same time:

[0030]

[0031] Further calculate the p...

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Abstract

The invention discloses a wind turbine variable-pitch system fault intelligent early warning method. The method comprises the steps that a given variable-pitch speed and a feedback variable-pitch speed of each blade are obtained, and a variable-pitch following error and a variable-pitch following error coefficient of each blade are calculated; when the following error coefficient does not exceed aspecified value, it is considered that the variable-pitch system has no fault, and when the following error coefficient exceeds the specified value, the pitch angles before and after variable pitch of all the blades are read, and the variable-pitch angle mutual difference of all the blades is calculated; early warning information is given if the variable-pitch angle mutual difference of each blade is not greater than a specified value, specifically, the number of the blade with the maximum variable-pitch angle mutual difference is followed, and if the variable-pitch angle mutual difference ofeach blade is greater than the specified value, the number of the blade with the maximum variable-pitch angle error is determined according to the maximum value and the minimum value of the variable-pitch angle mutual difference of each blade; and meanwhile, vibration monitoring data at a main bearing at the same moment are acquired, whether vibration exceeds the limit or not is judged, if not, the early warning information is given, specifically, the number of the blade with the maximum variable-pitch angle error is followed, and if yes, alarm information is given, specifically, the number of the blade with the maximum variable-pitch angle error is given. According to the method, three early warning results are provided, and early warning is more accurate.

Description

technical field [0001] The invention relates to the technical field of fault early warning of a wind turbine pitch system, in particular to an intelligent early warning method for a wind turbine pitch system fault. Background technique [0002] In recent years, the intelligent operation and maintenance of wind farms has become a hot spot in the industry. However, in the process of intelligent operation and maintenance of wind farms, it is particularly important to be able to early warning of equipment failures through various intelligent algorithms. At present, the SCADA system data and CMS system data in wind farms contain a large amount of equipment operation status information, which needs to be fully excavated. The pitch system is an important part of the wind turbine, and its operating status is directly related to the safety of the unit, so the early warning of the pitch system is extremely important. [0003] At present, although many different methods have been prop...

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Application Information

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IPC IPC(8): F03D17/00
CPCF03D17/00Y02E10/72
Inventor 韩斌甘勇孙世辉王忠杰李颖峰赵勇郑新建程方
Owner HUANENG POWER INTERNATIONAL