Wind power generator blade inherent frequency work condition compensation method based on nonlinear modeling

Abstract

The invention discloses a wind power blade inherent frequency work condition compensation method based on nonlinear modeling. The method includes the steps that firstly according to the power P of a wind power generator SCADA, historical running data are divided into a plurality of modeling data sub-sets, and the modeling data sub-sets are divided into a modeling data training set and a model testing data set; secondly, normalization treatment is performed on elements in the modeling data sub-sets; thirdly, according to the modeling training data set after normalization, a corresponding observing memory matrix D is constructed, and then according to the constructed observing memory matrix D and the model testing data set Xtest corresponding to the observing memory matrix D, a correspondinginherent frequency prediction model is constructed; and fourthly, work condition parameters of a current unit are substituted into the corresponding inherent frequency prediction model, actually measured current inherent frequency and predicted current fixed frequency are subjected to subtracting operation, and blade inherent frequency work condition compensation is performed by utilizing a fixedfrequency deviation value. The method can accurately achieve work condition compensation of the wind power generator blade fixed frequency.

Description

technical field [0001] The invention belongs to the field of natural frequency working condition compensation of wind power generator blades, and relates to a method for compensating natural frequency working conditions of wind power blades based on nonlinear modeling. Background technique [0002] At present, my country's wind power industry is in a period of rapid development, and the number of wind power generators is increasing year by year. Among them, the wind turbine blade is a key component of the unit, and the health of the blade structure is crucial to the safe operation of the unit. Therefore, it has important engineering practical value to realize the online monitoring of the status of wind turbine blades. The natural frequency of the blade represents the characteristics of the blade structure. When the blade is damaged such as cracks, the stiffness of the blade will decrease, resulting in a decrease in the natural frequency of the blade. Therefore, the current ...

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Problems solved by technology

The natural frequency of the blade represents the characteristics of the blade structure. When the blade is damaged such as cracks, the stiffness of the blade will decrease, resulting in a decrease in the natural frequency of the blade. Therefore, the current technology of monitoring the health status of the blade based on the natural frequency offset of the blade is widely used by scholars at home and abroad. attention, but the natural frequency of the blade is affected by the operating conditions of the unit, including wind speed, speed, power, pitch angle, temperature, etc. Therefore, even in a normal healthy state, the natural frequency of the blade is also changing, so the measured value cannot be directly used Natural frequencies to assess blade health

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