Decision Tree Supported Distance relay for Fault Detection and Classification in a series compensated line

Fault detection and classification in a series compensating power transmission line is a big challenge for protective relays in power system. The proposed method is based on machine learning algorithm application in distance protection for fault detection and classification in power transmission network. In this proposed method one cycle post fault current data is taken into consideration for fault classification and detection using decision tree method. This technique is tested on 400 kV, 50 Hz two area system which is simulated in PSCAD platform. The post fault current data extracted from relay point fed in to decision tree algorithm in machine learning application. The data extracted from relaying point in a different condition like different distance with several fault resistance.