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Incremental Current based Fault Detection and Classification in LCC-HVDC Transmission System

This paper presents the development and thorough evaluation of incremental current-based fault detection and classification algorithms when applied to the LCC-HVDC transmission system. This type of transmission system has an advantage over other HVDC transmission systems in terms of delivery of larger powers and operation at higher voltage levels, and hence chosen for research work. A CIGRE benchmark model of a 500 kV monopolar HVDC system has been simulated using PSCAD/EMTDC for evaluation of the performance of the proposed algorithm. Simulation results are presented for three internal and two external locations of the fault and five values of fault resistance. Subsequently, the results have been analyzed to determine the efficacy of the proposed algorithm in terms of detection and classification of all internal and external faults. The algorithm is found to detect and classify all internal and external faults for all fault resistance values within a time range of 1.5 ms to 3 ms, which makes it an ultra-high-speed protection algorithm.