Three-phase power transformer parameter online identification apparatus and realization algorithm thereof

Abstract

The invention provides a three-phase power transformer parameter online identification apparatus and a realization algorithm thereof. An identification unit employs a parameter online real-time identification algorithm and comprises a fundamental wave extraction algorithm unit d, a vector orientation algorithm unit e and an instantaneous vector algorithm unit f. Primary fundamental wave electric signals and secondary fundamental wave electric signals are obtained from primary three-phase electric signals and secondary three-phase electric signals of a three-phase transformer through the fundamental wave extraction algorithm unit d, and the primary fundamental wave electric signals and the secondary fundamental wave electric signals are successively output to the vector orientation algorithm unit e and the instantaneous vector algorithm unit f. Real-time online identification on parameters of the three-phase transformer is realized through a real-time phasor method, the reliability and the accuracy of online parameter identification of the transformer are effectively improved.

Description

technical field [0001] The invention relates to the field of transformer parameter identification, in particular to a device for realizing on-line identification of three-phase power transformer parameters by using a real-time phasor method and an implementation algorithm thereof. Background technique [0002] As the most important power equipment in the power system, the three-phase power transformer's operation safety and stability seriously affect the safe and stable operation of the power system. At present, the main protection of power transformers is mainly based on differential protection. The transformer excitation inrush current and internal faults are distinguished by the difference between the excitation inrush current waveform characteristics and the internal fault short-circuit current waveform characteristics. Due to the distributed capacitance of the long-distance transmission line and the normal reactive power compensation of the line, it is impossible to dis...

AI Technical Summary

Problems solved by technology

The above two identification methods both use the least squares method to realize the on-line monitoring of winding transformer parameters, but when the input matrix |AA Τ When |=0, the parameters are not identifiable, causing the identification results to diverge or converge to incorrect values, and the amount of calculation is large, and there is a problem of data saturation in parameter tracking

Images