Research on Transformer Fault Based on Grey System Theory

Abstract

A transformer is a kind of power distribution equipment, which plays a vital role in the power system. The concentration of dissolved gas in the oil can predict the fault. Because the prediction accuracy of the classical GM (1, 1) model is not high, a new optimization formula is given according to the reconstruction of its original value and background value. Through the experimental data, it is proved that compared with the original GM (1, 1) model, the average relative error and error fluctuation of the optimized GM (1, 1) model is significantly reduced, and the accuracy is greatly improved.