Method and device for detecting abnormal pitch angle of wind generating set

Abstract

The invention provides a method and device for detecting an abnormal pitch angle of a wind generating set. The method comprises the steps of: acquiring an actual wind speed, actual output power and an actual pitch angle of the wind generating set at each sampling moment within a preset time period; determining a theoretical pitch angle at each sampling moment based on the actual wind speed and the actual output power at each sampling moment; calculating an evaluation index based on the actual pitch angle at each sampling moment and the corresponding theoretical pitch angle, wherein the evaluation index reflects the difference between the actual pitch angle and the theoretical pitch angle; and determining whether the pitch angle of the wind generating set is abnormal or not based on the evaluation indexes of all the sampling moments in the preset time period. Through the method and device provided by the embodiment of the invention, whether the pitch angle of the wind generating set is in the abnormal state or not can be accurately identified.

Description

technical field [0001] The present invention generally relates to the technical field of wind power generation, and more specifically, relates to a method and device for detecting abnormal pitch angle of a wind power generating set. Background technique [0002] The aerodynamic performance of the blade is a key factor affecting the output of the wind turbine, and the pitch angle is one of the important parameters affecting the aerodynamic performance of the blade. Accurate identification of abnormal pitch angles can not only improve the output of wind turbines, but also avoid the risk of damage to blades due to increased aerodynamic loads caused by abnormal pitch angles. [0003] At present, the abnormal detection of the pitch angle is mostly based on the analysis of the pitch signal (for example, pitch speed signal or pitch angle signal) in the time domain or frequency domain. The basic data of these analysis work come from the fault file or fault Data for a period of time...

AI Technical Summary

Problems solved by technology

However, in the actual scene, there are a large number of unknown factors that lead to changes in the aerodynamic performance of the blades, so that the effect of changing the pitch fails to meet expectations. These abnormal conditions cannot be identified from the qualitative analysis of certain faults.

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