Open AccessEffective algorithm for fault discrimination and estimation of fault location in transmission lines
Author(s) -
Gangolu Suryanarayana,
Raja P.,
Selvan M.P.,
Murali Venkata Kirthiga
Publication year - 2019
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2018.5815
Subject(s) - fault (geology) , matlab , fault indicator , electric power transmission , transmission line , computer science , admittance , computation , fault detection and isolation , electronic engineering , electrical impedance , control theory (sociology) , engineering , algorithm , electrical engineering , artificial intelligence , seismology , actuator , geology , control (management) , operating system
Sensitivity, selectivity, speed of operation and reliability of the conventional current differential protection schemes are affected and limited by the distributed shunt capacitance of high‐voltage long transmission lines. In this study, a new pilot protection algorithm has been proposed based on the computation of change in shunt line admittance ‘ Y ’ during dynamic conditions using synchronised data. Therefore, it does not require a separate compensating technique to nullify the effect of line charging current in the fault detection. This scheme can quickly discriminate the internal faults and also detects the faulty phase. Also, it has an advantage of estimation of an accurate fault location. The performance of the proposed algorithm is evaluated on 400 kV, 50 Hz two‐bus system as well as IEEE‐39 bus 345 kV system using EMTDC/PSCAD and MATLAB simulation tools. The simulation results confirm the proposed algorithm can effectively discriminate the faults, independent of fault location, fault resistance, type of fault, series compensation lines and source impedance. Finally, a hardware experiment using National Instruments (NI) based LabVIEW platform is carried out to check the practical feasibility of the proposed algorithm.