This paper presents implementation of algorithms developed for fault classification and location detection on transmission lines with data from current & voltage sensors. Rogowski coil as current sensor is gaining importance due to its linearity and wide band width. A lumped parameter model of Rogowski coil is developed and integrated with a power system model in SIMULINK to simulate all types of faults at different locations, fault inception angles and fault resistances. A fault classification scheme based on the evaluation of angles of fault currents and voltages is extended to secondary values obtained from Rogowski coil. Further after estimation of phasors, fault location is detected. The test results show that the proposed algorithm on primary values is equally applicable on secondary values thus offering a fast and reliable technique for fault diagnosis of transmission lines in power systems.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.