Enhancing the Protection scheme for FACTS-Based Transmission Lines using a Data Mining Model

This review paper is based on the use of the thyristor control series compensator (TCSC) for the fault zone identification and protection of FACTS based transmission lines by using data mining model with the use of ensemble decision trees. In this work we are comparing the existing data mining technologies which are available for the fault zone in the transmission line. The kd tree algorithm is used to detect the fault zone and the random forest algorithm is applied to that zone for enhancing the prior results of the random forest which is only applied to data. The random forest algorithm gives larger accuracy and reliability as compared to the other existing technologies.