Method for identifying constant-speed wind turbine generator driving system parameters

Abstract

The invention discloses a method for identifying constant-speed wind turbine generator driving system parameters. The method comprises the steps that firstly, a diving system model and parameters to be identified are determined; then, a wind speed sequence and the rotating speed signals of a constant-speed asynchronous wind driven generator are collected synchronously, the wind speed sequence is decomposed into an average wind speed sequence and a turbulent flow wind speed sequence, and the rotating speed signals of the generator are decomposed into stable rotating speed and the random variation component of the rotating speed; the power spectrum of turbulent flow wind speed and the rotating speed random variation component of the generator is calculated, and the transfer function module value of the generator rotating speed relative to the wind speed is acquired based on the power spectrum; high-frequency components in a transfer function are filtered out through a wavelet method; finally, the driving system parameters are identified based on a nonlinear least square optimizing method; the parameter identifying results of a plurality of sliding windows are averaged, and the final parameter identifying value is determined. According to the method, the observability of the driving system parameters can be higher, the identifying result meets the actual running state of a fan better, and the identifying precision of the parameters is overall improved.

Description

technical field [0001] The invention belongs to the field of power system modeling, in particular to a method for identifying parameters of a drive system of a constant-speed wind turbine. Background technique [0002] Since the introduction of wind power into the power system, the model of wind turbines, especially the dynamic model has been a research hotspot. At present, there have been many achievements in the research on mechanism modeling of wind turbines, and the work on identification modeling and model verification is being carried out worldwide. In 2009, the State Grid Corporation of China promulgated the "Technical Regulations for Wind Power Grid-connected Operation Control", which requires one of the requirements for wind power grid-connected analysis models and methods: "In the wind power grid-connected analysis work, the detailed mathematical model of wind turbines should be used, and the model's Parameters should be provided by wind farms with measured parame...

AI Technical Summary

Problems solved by technology

At present, it has been pointed out in the literature that under grid-side faults, the system dynamics are dominated by electromechanical and electrical modes, and the sensitivity of drive system parameters under grid-side faults is low, and the parameter identification accuracy is poor.

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