Fault Classification and Fault Zone Identification in a Thyristor Controlled Series Compensator Based Transmission Line by using Decision Tree
Prasad Ranjan Ghosh1, Srikant Mohapatra2, Arjyadhara Pradhan3, Soubhagya Prusty4
1Arjyadhara Pradhan*, School of Electrical Engineering, Kalinga Institute of Industrial Technology, KIIT Deemed to be University, Bhubaneshwar , India.
2Dr. Srikanta Mohapatra, Associate Professor, School of Electrical Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India.
3Prasad Ranjan Ghosh, Pursuing M.Tech Degree, Department of Electrical Engineering Under Kiit Deemed To Be University. Bhubaneswar, Odisha, India.
4Prof Soubhagya, Assistant Professor, School of Electrical Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India.
Manuscript received on December 14, 2019. | Revised Manuscript received on December 22, 2019. | Manuscript published on January 10, 2020. | PP: 1502-1506 | Volume-9 Issue-3, January 2020. | Retrieval Number: C8322019320/2020©BEIESP | DOI: 10.35940/ijitee.C8322.019320
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Abstract: 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.
Keywords: TCSC, PSCAD/EMTDC, Fault Classification, Fault Zone Identification
Scope of the Article: Classification