A covariance indices based method for fault detection and classification in a power transmission system during power swing

摘要: Abstract This paper presents a new scheme based on combination of the current signals covariance with cumulative approach to identify faults in power transmission system during swing conditions. Primarily, is used extract features which are useful fault from that measured at both terminals. The enlarge feature and then create convenient index for detection classification swing. proposed algorithm has been tested through different circumstances such as multiple locations, resistances, inception time. Moreover, happened nearby terminal, considering variable loading angles, sudden load change, flow direction presence series compensation occurred noise also considered. empirical results show this study made reasonable time response, where could be detected within few milliseconds after inception. Additionally, simple computation process depicting our proposal makes it more suitable efficient practical engineering applications.