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Faulty phase selection for transmission line using integrated moving sum approach
Author(s) -
Biswal Monalisa
Publication year - 2016
Publication title -
iet science, measurement and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 49
eISSN - 1751-8830
pISSN - 1751-8822
DOI - 10.1049/iet-smt.2016.0081
Subject(s) - fault indicator , fault (geology) , stuck at fault , fault coverage , transmission line , electric power transmission , fault detection and isolation , transformer , computer science , algorithm , control theory (sociology) , engineering , voltage , artificial intelligence , electrical engineering , control (management) , seismology , electronic circuit , actuator , geology
This study presents a transmission line fault classification algorithm using integrated moving sum (IMSUM) technique. The method is based on current signal only. In this method, the decision of moving sum approach‐based fault detection unit is used in integration with the proposed method to obtain accurate fault class. Rules are set for all ten types of fault. Considering half cycle computed data from the instant of fault inception classification is possible. High‐resistance far‐end fault, close‐in fault, fault at different inception angle and fault considering variable prefault loading conditions can be easily classified using IMSUM technique. Severe current transformer saturation and weak infeed conditions are also discussed. The method can also be applied to a series compensated line. Any variation in fault and system condition will not alter the decision period of IMSUM technique which is an exceptional attribute for a protective function.

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