Research on fault location of DC line in UHV converter station based on digital twin technology

Abstract

The technologies such as data, information and intelligence are gradually applied to the power industry, and the power industry is gradually realizing digital transformation to meet the requirements of more reliable, stable, intelligent and safe power supply. UHV converter station is the heart of power grid equipment, which mainly ensures the conversion between AC and DC to ensure the stable operation of the power system. Facing the situation that the fault location is difficult and the loss is too large, this paper introduces the Digital Twin Technology(DTT), which completes the real-time mapping of the data state between the physical body and the virtual body of the converter station line through the digital modeling of the physical intelligent equipment. The recognition rate of CNN-BiGRU model for line fault and type reaches 99.78 % and 98.56 %. The CNN-BiGRU model has the highest recognition rate and the best effect in terms of the line recognition rate and the fault type recognition rate. The maximum Recall and Precision values of CNN-BiGRU model are 99.67 % and 97.96 %. The closer the F1 is to 1, the better the performance of the model is, and the value of CNN-BiGRU reaches 0. 94, which shows that the model has good performance.