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Fault monitoring and early warning method for wind power master control system

A main control system and fault monitoring technology, applied in relational databases, electrical digital data processing, structured data retrieval, etc., can solve problems such as relatively high control level requirements, complex structure of wind power systems, and harsh working conditions, and achieve the realization of Effectiveness of predictive maintenance, prevention and reduction of unit failures

Pending Publication Date: 2022-02-15
华电(福建)风电有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, wind turbines are mostly built in high mountains, at sea or seaside places where the wind is relatively strong. different environmental conditions, so it is inevitable that there will be various failures
At present, domestic condition monitoring fault diagnosis technology has been widely used in petroleum, chemical industry, electric power (mainly referring to thermal power) metallurgy and other industries, and has achieved very good results, but the application of this technology in the field of wind power generation is still in the exploratory stage

Method used

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  • Fault monitoring and early warning method for wind power master control system
  • Fault monitoring and early warning method for wind power master control system
  • Fault monitoring and early warning method for wind power master control system

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Embodiment 1

[0026] refer to figure 1 , which is an embodiment of the present invention, provides a wind power main control system fault monitoring and early warning method, including:

[0027] S1: Collect historical operating status data of the wind power main control system, extract relevant parameter information of typical faults in the historical operating status data and perform preprocessing;

[0028] It should be noted that the historical operating status data of the wind power main control system includes grid parameters, meteorological parameters and unit status parameters.

[0029] Among them, the grid parameters include grid three-phase voltage, three-phase current, grid frequency, power factor;

[0030] Meteorological parameters include wind speed, wind direction, and ambient temperature;

[0031] Unit status parameters include wind rotor speed, generator speed, generator coil temperature, generator front and rear bearing temperature, gearbox oil temperature, gearbox front an...

Embodiment 2

[0076] This embodiment is another embodiment of the present invention. This embodiment is different from the first embodiment in that it provides a verification test of a wind power main control system fault monitoring and early warning method, in order to improve the technical effect adopted in this method. Verification shows that this embodiment adopts the traditional technical scheme and the method of the present invention to carry out a comparative test, and compares the test results by means of scientific demonstration, so as to verify the real effect of the method.

[0077] Traditional technical solutions: high installation costs, limited practical application of fault warning methods, low sampling frequency, more data but less fault data, resulting in low fault warning accuracy. In order to verify that this method has higher early warning accuracy than traditional methods. In this embodiment, the fault early warning method of traditional SCADA data (traditional method 1...

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Abstract

The invention discloses a fault monitoring and early warning method for a wind power master control system. The method comprises the following steps: collecting historical operation state data of a wind power master control system, extracting related parameter information of typical faults in the historical operation state data, and carrying out preprocessing; establishing a fault early warning model, dividing the preprocessed data into a training set and a test set, and training the fault early warning model by using the training set and the test set; and carrying out monitoring and fault early warning on real-time operation data of the wind power master control system according to the trained fault early warning model. According to the method, a complete and comprehensive wind turbine generator set state monitoring and fault diagnosis scheme is established, and the method is of great significance in correctly evaluating an operation state of a generator set, preventing and reducing faults of the generator set and achieving predictive maintenance.

Description

technical field [0001] The invention relates to the technical field of wind power main control system and fault monitoring, in particular to a fault monitoring and early warning method of wind power main control system. Background technique [0002] As countries all over the world pay more and more attention to environmental protection, energy shortage and energy-saving issues, wind energy, as a clean and extremely abundant renewable energy, is increasingly valued by various countries. However, wind turbines are mostly built in high mountains, at sea or seaside places where the wind is relatively strong. Under various environmental conditions, it is inevitable that various failures will occur. At present, domestic condition monitoring fault diagnosis technology has been widely used in petroleum, chemical industry, electric power (mainly referring to thermal power) metallurgy and other industries, and achieved very good results, but the application of this technology in the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06F16/28G06F16/215
CPCG06F16/285G06F16/215G06F2218/12G06F18/2411G06F18/2433
Inventor 陈崇民苏晓明陈积旭林良财詹培杰陈建斌黄李辉于翔蔡玮陈鑫
Owner 华电(福建)风电有限公司