Analysis by Traveling Waves for a Protection Scheme of Transmission Lines with a UPFC

This paper describes a method for detecting, localizing, and classifying fault events in high voltage transmission lines with Unified Power Flow Controller compensation. The proposed approach employs a single-end method that uses the discrete wavelet transform in combination with a probabilistic neural network. The analysis of the interaction of the UPFC with the signals of the traveling waves is presented. The results of the error for the fault location are obtained in three different fault inception angles, three different values of fault resistance and three different compensation levels. The obtained results indicate that the algorithm accuracy for estimating the fault distance is less than 0.7 percent of the total line length, and the classification efficiency is 95.45%. The test system is simulated in Simulink/Matlab platform and the algorithm is implemented in Python environment.