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A kind of early warning method of wind power generator failure

A technology for wind turbines and fault warning, applied in wind turbines, wind turbine monitoring, engines, etc., can solve the problems of difficult model maintenance, low accuracy, long time consumption, etc., so as to solve the problem of fault warning and predict stability. High, adaptable effect

Active Publication Date: 2019-09-27
SHANGHAI ELECTRIC POWER DESIGN INST
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  • Application Information

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Problems solved by technology

[0004] However, the traditional expert system-based fault early warning method is aimed at complex systems such as DFIG with mechanical-electrical-thermal coupling, its knowledge source is not enough to express and reflect the characteristics of things, and the accuracy rate is not high; Fault warning method, modeling takes a long time, the selection of learning samples is also lack of basis, and model maintenance is difficult

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  • A kind of early warning method of wind power generator failure
  • A kind of early warning method of wind power generator failure
  • A kind of early warning method of wind power generator failure

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Embodiment 1

[0041] figure 1 The flow chart of the wind power generator failure early warning method provided by Embodiment 1 of the present invention specifically includes the following steps:

[0042] Step S101: Extract observation parameters;

[0043] The observation parameters are the observation data of multiple observation points and different time periods, which are extracted and constructed by the SCADA system to form an initial observation parameter matrix. The values ​​of the parameters of different observation points of the wind turbine; each row vector (called a row sample) in the initial observation parameter matrix is ​​the value of the parameters collected at different times for the same observation point of the wind turbine.

[0044] Step S102: cluster analysis of observation parameters, the construction of the state matrix can be classified as a clustering problem from the perspective of data mining, and the observation parameters are classified by using the Ward system c...

Embodiment 2

[0052] figure 2 It is a flow chart of the wind power generator failure early warning method provided by Embodiment 2 of the present invention. The second embodiment of the present invention is based on the first embodiment, and specifically describes the data processing after the observation parameters are extracted.

[0053] Further, as figure 2 As shown, after the observation parameters are extracted in step S201, the operations of rough set attribute reduction in step S202 and observation parameter preprocessing in step S203 can also be performed. The rough set attribute reduction in step S202 and the observation parameter preprocessing in step S203 are actually sorting out the historical operation data, reducing the scale of data processing, and improving the accuracy of fault warning. After processing the historical operating data, follow up with step S204 cluster analysis of observed parameters, step S205 "centroid" extraction to construct a state matrix, and step S2...

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Abstract

The invention discloses a fault early warning method for a wind power generator. The method comprises the steps that observation parameters are extracted; clustering analysis is carried out on the observation parameters, and the observation parameters are classified by adopting a Ward system clustering analysis method; centroids are extracted to construct a state matrix, each classified centroid is calculated according to the shortest distance principle, and the state matrix representing the normal operation situation of the wind power generator is formed through a centroid set; and an estimated value of the generating state of the state matrix is calculated in a similarity modeling mode, and whether the early warning is triggered or not is judged in a residual analysis mode. The fault early warning method for the wind power generator has the advantages that the fault of the wind power generator can be quickly and effectively predicted.

Description

technical field [0001] Embodiments of the present invention relate to the field of wind power generation, and in particular to a method for early warning of a wind power generator failure. Background technique [0002] The harsh operating environment of the wind power system, coupled with the sluggish development of the wind power tertiary industry in China, has resulted in frequent occurrence of wind turbine equipment failures. Doubly-fed wind turbines, as the core equipment for the realization of variable-speed constant-frequency wind power systems, are at the boundary between the wind farm power generation side and the grid side, and their importance is self-evident. It is indeed necessary to carry out fault early warning research. [0003] The occurrence of faults in wind turbine components is not achieved overnight. Its generation and development generally need to go through several processes such as anomalies, defects, faults, and accidents. Some faults, such as exces...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): F03D17/00
Inventor 肖礼沈彬孙雷邓宇
Owner SHANGHAI ELECTRIC POWER DESIGN INST
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