Real-time evaluation method for health state of wind turbine unit

A technology for wind turbines and health status, which is applied in the fields of electrical digital data processing, special data processing applications, instruments, etc., and can solve the problems of difficult implementation of health status assessment and low assessment accuracy.

CN106446540AActive Publication Date: 2017-02-22NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2017-02-22

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Abstract

The invention discloses a real-time evaluation method for the health state of a wind turbine unit. The method comprises the steps that firstly, on the basis of historical running data of the wind turbine unit, running work condition dividing of the wind turbine unit is achieved by applying a clustering technology, and standard state cloud models of the wind turbine unit under all work conditions are calculated; secondly, work condition identification is conducted on real-time data stream of the wind turbine unit through a stream-type clustering algorithm, and cloud models of the real-time states of the unit are calculated; thirdly, deviation values between the cloud models of the real-time states and the standard state cloud models are calculated and taken as health indexes of the wind turbine unit; lastly, the health state of the wind turbine unit is evaluated according to the magnitude of the health indexes. According to the method, the running states of the wind turbine unit are described through the cloud models, the health state and the development tendency of the wind turbine unit are acquired by introducing a time window method, therefore, the uncertainty of state monitoring information of the wind turbine unit is fully taken into account, the accuracy of an evaluation result is greatly improved, and powerful support can be provided for making a wind turbine unit maintenance plan.
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Description

technical field

[0001] The invention relates to a method for real-time evaluation of the health state of a wind turbine unit in consideration of information uncertainty, and belongs to the technical field of power generation. Background technique

[0002] With the advent of the era of power big data, a large number of high-speed real-time data streams have become more and more common, big data analysis technology (such as distributed computing technology, memory computing technology and stream processing technology) provides a more stable development of the power industry , Powerful data analysis capabilities. The current research in the field of data flow analysis mainly focuses on the association analysis, cluster analysis, classification and frequent item mining of data flow. Effective dynamic data streams provide rich status information and decision support information for health status assessment of monitored objects, but unlike traditional analysis methods, analysis m...

Examples

Embodiment Construction

[0066] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0067] The present invention proposes a method for evaluating the health status of wind power generating units based on Spark Streaming. By utilizing the advantages of cloud model processing uncertain information and the advantages of MapReduce parallel computing framework for processing large-scale wind power generating unit data, a method suitable for processing wind power generating units is provided. A health status assessment method for wind turbines based on Spark memory parallel computing for real-time data streams of wind turbines. The method can be divided into offline part and online part. In the offline part, based on the massive historical operation data of wind turbines, clustering technology is used to realize the division of the operating conditions of wind turbines. The state is described; in the online part, firstly, based on Spark, the real...