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Wind power generator running fault new type finding method based on transient state recording data

A technology for operating faults and transient recording, which is applied in wind turbines, wind turbine monitoring, engines, etc., and can solve problems such as numerous equipment, high cost, and difficulty in deployment.

Active Publication Date: 2018-06-05
YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
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Problems solved by technology

And because the site is remote, it is necessary to deploy targeted equipment, and each equipment can only monitor a certain component, resulting in a large number of equipment and difficult deployment, so the cost is very high

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  • Wind power generator running fault new type finding method based on transient state recording data
  • Wind power generator running fault new type finding method based on transient state recording data
  • Wind power generator running fault new type finding method based on transient state recording data

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Embodiment Construction

[0031] In order to accurately describe the present application, the following terms and meanings are explained herein.

[0032] Wind power generation: refers to the process of converting the kinetic energy of wind into electrical energy.

[0033] Fan: The abbreviation of wind power generator, refers to the electrical equipment that converts wind energy into mechanical work, which drives the rotor to rotate, and finally outputs alternating current.

[0034] Power quality data: the fault recording data output by the fan within a certain period of time recorded by the power quality monitoring equipment or other monitoring equipment with power quality monitoring function. The power quality data involved in this patent mainly include steady-state power quality data (such as three-phase current, three-phase voltage, three-phase active power, three-phase reactive power, frequency) and transient power quality data.

[0035] Transient wave recording data: When the power system fails o...

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Abstract

The invention provides a wind power generator running fault new type finding method based on transient state recording data. The method comprises the following steps that a multi-side feature vector of side data in transient wave data is constructed; a centroid matrix of the multi-side feature vector is constructed according to rows, and the centroid matrix is averaged according to columns to obtain a super centroid vector; a confidence matrix is initialized; based on K-means, the side surface data is clustered to obtain a clustering result; and a new fault type is judged according to the clustering result. According to the wind power generator running fault new type finding method based on the transient state recording data, the high-quality fault class can be accurately recognized with high performance and higher type quality, and reference implementation for constructing an automatic fault early warning and fault removal system is provided.

Description

technical field [0001] This application relates to the technical field of wind power generators, in particular to a method for discovering new types of wind power generator operating faults based on transient wave recording data. Background technique [0002] With the development of global economic integration and the continuous increase of population, the two major problems of energy depletion and environmental degradation have become important issues that human beings need to deal with urgently. Wind power generation has become the top priority in solving the energy shortage problem in the power generation system. Wind power, as a mature technology and emerging industry with modern commercial development prospects, has become the most important alternative energy source. As the main device for wind power generation, wind turbines, the classification of their faults has become an important means of fault early warning and troubleshooting. [0003] Wind turbines are genera...

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Application Information

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IPC IPC(8): F03D17/00
CPCF03D17/00
Inventor 郭成覃日升周鑫徐志
Owner YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
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