A novel fault classifier and locator using one-end current spectrum and minimal synchronized symmetrical components for transmission lines

Nowadays the utilisation of electrical power is increasing exponentially in the present modern living style. In order to meet the consumer load demand, expansion in the power system network is essential. To provide continuous and reliable power supply, a smart power system needs to identify any abnormal conditions on overhead transmission lines such as line faults in minimum time. The fault detection, fault classification and its location on the overhead transmission system is still a major area of research for the secure and reliable operation of the power system. In this paper, minimal synchronised symmetrical components based fault locator for overhead transmission lines is proposed. Prior to fault location, classification of the fault is also given importance by utilising one end current data. The overhead transmission line network is modelled in PSCAD software environment. Various simulations have been performed by taking 100km and 300km long line cases. The simulated data is processed through the proposed fault classification and location algorithms developed in MATLAB environment. The simulation results enumerate the accuracy of the proposed algorithm based on the error percentage.