Identification of voltage sag source based on Improved GRA

Abstract Accurate identification of fault source causing voltage sag is great significance to the governance and further research sag. In this paper, a method based on improved grey correlation analysis (GRA) proposed. view deficiency that traditional GRA only considers similarity, proposed geometric area slope sequence into calculation coefficient, so has attributes both similarity data closeness. Eight features are extracted from six common types waveforms form standard test sequence; The used calculate degree between sequences, then can be realized. Simulation model built in MATLAB. Results show effectively identify source. Compared with GRA, higher accuracy stronger ability.