Wind-power fault early-warning prediction method

A fault warning and wind power technology, applied in the measurement of electricity, measuring devices, measuring electrical variables, etc., can solve the problem of uneven data quality, low interpretability of wind power fault early warning and prediction, and lack of accurate, effective and high-quality characteristics of wind power fault prediction and analysis and other problems to achieve the effect of improving accuracy and interpretability

Active Publication Date: 2019-07-09
中电建新能源集团股份有限公司 +1
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Problems solved by technology

[0004] The accumulation of wind farm operation and monitoring data makes the early warning and prediction of wind power failure possible. However, due to the uneven data quality, the existing wind power failure prediction analysis lacks high-quality features that are accurate and effective and can be combined with actual business. Reduced interpretability of the obtained data for early warning and prediction of wind power faults

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Embodiment Construction

[0042] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be described in detail below. Apparently, the described embodiments are only some of the embodiments of this application, not all of them. Based on the embodiments in the present application, all other implementation manners obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present application.

[0043] figure 1 A schematic flow diagram of a wind power fault early warning and prediction method provided for an embodiment of the present application; figure 1 As shown, the wind power failure early warning and prediction method includes the following steps:

[0044] Step S1, constructing features of wind power data through various aspects, and performing parallel and rapid calculation and extraction of features.

[0045] In specific applications, due to th...

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Abstract

The application relates to a wind-power fault early-warning prediction method, and belongs to the technical field of the wind-power fault early-warning prediction. The method comprises the following steps: performing characteristic construction on wind-power data from multiple aspects, and performing parallel quick computation extraction of the characteristic; processing the wind-power data basedon the extracted characteristic to obtain early-warning prediction data with high information richness and interpretability; and performing fault early-warning prediction on the wind-power running according to the early-warning prediction data. Through the implementation of the method disclosed by the scheme, the characteristics of a large amount of wind-power data can be quickly realized, the interpretability of the early-warning prediction data is effectively improved, and the accuracy of the wind-power fault early-warning prediction can be improved.

Description

technical field [0001] The application belongs to the technical field of early warning and prediction of wind power failure, and in particular relates to a method for early warning and prediction of wind power failure. Background technique [0002] As a very important part of the new energy field, wind power technology has made great progress in recent years. [0003] Because wind farms are generally located in remote areas and the working environment is complex and harsh, the probability of failure of wind turbines is relatively high, and many operational failures have occurred. With the operation of large-scale wind farms, in order to reduce the risk of wind turbine operation and maintain the safe and economical operation of wind turbines, fault diagnosis, early warning and prediction play an increasingly important role in the operation of wind power generation. [0004] The accumulation of wind farm operation and monitoring data makes the early warning and prediction of ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/00G01M99/00
CPCG01R31/00G01M99/005
Inventor 彭加立王祯卢红伟郭鹏程张广斌王大鹏
Owner 中电建新能源集团股份有限公司
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