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Wind turbine generator operation state identification method based on DBSCAN

A wind turbine and operating state technology, which is applied in the direction of electrical digital data processing, structured data retrieval, prediction, etc., can solve the problems of inaccurate identification of operating state, simplification of data classification, etc., and achieve the benefits of health management and fault diagnosis Effect

Inactive Publication Date: 2017-07-28
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the problems in the prior art that the classification of wind turbine operating data is simplified and the identification of operating status is inaccurate

Method used

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  • Wind turbine generator operation state identification method based on DBSCAN
  • Wind turbine generator operation state identification method based on DBSCAN
  • Wind turbine generator operation state identification method based on DBSCAN

Examples

Experimental program
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Embodiment Construction

[0030] Taking a wind farm in the northern region as an example, there are 24 2MW generating units in the whole site, and the phenomenon of wind curtailment is serious. Randomly select one of the wind turbines, and extract the operating data from March 15, 2013 to May 26, 2013 for example analysis.

[0031] Step 1: Collect the operating data of the wind turbine and the basic parameters of the wind turbine.

[0032] The operating data includes wind speed, power, and pitch angle; the cut-in wind speed of the wind turbine is 3.5m / s, the rated wind speed is 12m / s, and the rated power is 2MW.

[0033] Step 2: Normalize the operating data of the unit.

[0034] The data mainly includes wind speed, power, pitch angle and other information collected by the SCADA system, and the data interval is 10 minutes.

[0035] in

[0036]

[0037] where x * - normalized data;

[0038] x - original data;

[0039] max - the maximum value of the data to be processed;

[0040] min - the minim...

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Abstract

The present invention discloses a wind turbine generator operation state identification method based on a DBSCAN. The method comprises the following steps: the step 1: collecting operation data of a wind turbine generator and basic parameters of the wind turbine generator; the step 2: performing data normalization processing of the wind turbine generator; the step 3: screening the shutdown data from the operation data according to the wind speed and the power data; the step 4: taking the wind speed, the power and the pitch angle data obtained through the normalization processing in the step 2 as the input data of the DBSCAN, and performing optimization of the model parameters of the DBSCAN clustering; and the step 5: obtaining the operation state identification result of the wind turbine generator according to the data classification results of the step 3 and the step 4.

Description

technical field [0001] The invention belongs to the technical field of wind power generation, and relates to a method for identifying the operating state of a wind turbine, in particular to a method for identifying the operating state of a wind turbine based on DBSCAN. Background technique [0002] The operating environment of wind turbines is complex and the operating conditions are diverse. From a large number of multi-dimensional and complex wind farm operation history data, it is necessary to identify normal operation data, power-limited operation data, fault shutdown data and other abnormal reasons. The calculation of unit theoretical power generation, fault diagnosis, and the accuracy of wind power prediction are of great significance. Existing wind turbine operating status identification methods mainly focus on the identification of wind turbine abandonment data, including the use of viscous interval method to eliminate abandoned wind data, and the combination of quar...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06F17/30
CPCG06F16/285G06Q10/04G06Q10/0635G06Q50/06
Inventor 韩爽延平张浩刘永前阎洁曲烔辉李莉
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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