Fault Classification and Fault Zone Identification in a Thyristor Controlled Series Compensator Based Transmission Line by using Decision Tree | Zendy

Arjyadhara Pradhan | Zendy; Srikanta Mohapatra | Zendy; Prasad Ranjan Ghosh | Zendy; Prof Soubhagya | Zendy

Open Access

Fault 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) , decision tree , transmission line , identification (biology) , line (geometry) , fault indicator , computer science , artificial neural network , electric power transmission , stuck at fault , control theory (sociology) , voltage , engineering , data mining , fault detection and isolation , artificial intelligence , mathematics , control (management) , seismology , electrical engineering , telecommunications , botany , geometry , geology , biology , actuator

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.

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