Method and device for identifying parameters of doubly-fed fan controller

Abstract

The invention provides a method and device for identifying parameters of a doubly-fed fan controller. The method comprises the following steps: determining a corresponding preset mathematical model according to the structure of the doubly-fed fan controller with to-be-identified parameters; collecting a plurality of input and output data of the doubly-fed fan controller in the current operation time period; according to the mathematical model and the plurality of input and output data, obtaining a preliminary identification result of the to-be-identified parameters of the doubly-fed fan controller; and adjusting the preliminary identification result of the to-be-identified parameters according to a plurality of pre-collected operation data of the doubly-fed fan controller in a historical operation period to obtain a final identification result of the to-be-identified parameters of the doubly-fed fan controller. According to the parameter identification method for the doubly-fed fan controller, the parameter identification precision is greatly improved.

Description

technical field [0001] The invention belongs to the field of wind power generator control, in particular to a method for identifying parameters of a double-fed wind turbine controller. Background technique [0002] Due to the country's strong support for the development of new energy, the wind power industry has achieved tremendous development. Among the wind power generators, the doubly-fed wind power generator is one of the most widely used wind power generators at present. The doubly-fed wind power generator connects the rotor side with the grid through the converter to realize the power exchange, which ensures Lower frequency stability. [0003] The double-fed wind turbine converter includes a rotor-side controller and a grid-side controller. These controllers ensure the regulation of the excitation current and enable the stable operation of the double-fed wind turbine. However, during the long-term operation of the double-fed wind turbine, the parameters of the contro...

AI Technical Summary

Problems solved by technology

At present, the most widely used parameter identification method is the least squares method, but the calculation accuracy of the least squares method is often very low for complex systems

Based on this, the document "Wang Hong, Liang Junxia, ​​Hu Jialin. Parameter Identification of Double-fed Wind Turbine Based on αβ Coordinate System Model [J]. Power System Protection and Control, 2014,42(20):81-85" published a A method for identifying the αβ coordinate system model using genetic algorithm. However, the fan model in this method is a model built in the Matlab / Simulink environment. There are subtle differences between the built model and the actual model, and this difference It will lead to deviations in the calculation results; at the same time, the calculation process of the genetic algorithm is slow, and real-time identification cannot be realized, that is, the parameters cannot be identified at any time during the normal operation of the fan

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