A method and device for identifying control mode and parameters of a doubly-fed wind turbine generator converter

Abstract

The present application relates to the field of new energy grid-connected control technology, and more particularly to a doubly-fed wind turbine converter control mode and parameter identification method and device, which applies small amplitude step or pseudo-random voltage disturbance at the machine end or grid-connected point, collects grid-connected point three-phase voltage and unit three-phase current data, and obtains input vector and measured output vector in the synchronous rotating coordinate system through Park transformation. An augmented state space model library containing multiple potential control modes is established, and the PI parameters to be identified are incorporated into the augmented state; a state / parameter estimation is performed on each model by running a parallel unscented Kalman filter, and innovation residual and its covariance are calculated; the posterior probability of each model is recursively updated and normalized based on Bayesian inference, the control mode with the maximum probability is selected to determine the control mode, and the corresponding parameter estimation value is output. The method does not need to preset the mode, can improve the identification accuracy and parameter physical consistency under mode switching or critical working conditions, is convenient for stability analysis and working condition migration, and is suitable for a wide range of applications.

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