Open AccessFault Classification and Fault Zone Identification in a Thyristor Controlled Series Compensator Based Transmission Line by using Decision Tree
Author(s) -
Arjyadhara Pradhan,
Srikanta Mohapatra,
Prasad Ranjan Ghosh,
Prof Soubhagya
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.c8322.019320
Subject(s) - thyristor , fault (geology) , transmission line , decision tree , fault indicator , line (geometry) , identification (biology) , computer science , artificial neural network , stuck at fault , electric power transmission , control theory (sociology) , engineering , voltage , fault detection and isolation , artificial intelligence , mathematics , control (management) , telecommunications , botany , geometry , seismology , geology , electrical engineering , actuator , biology
A new method has been introduced for classification of fault and to identify zone of fault in Thyristor Controlled Series Capacitor based line by utilizing Decision Tree method. PSACD/EMTDC software is used in this paper for the simulation of TCSC. Voltage and current samples after fault are used in this method as input against predicted output vectors for zone identification of fault. Decision Tree based classification algorithm also used to classify all ten types of faults in the TCSC based line. This method is being tested on simulated data and the results indicate that this method can classify different types of faults and also identify zone of fault more accurately than any neural network systems in a TCSC based line.