The detection of islanding events in a microgrid is a problematic issue. In this paper, four angle variations of superimposed sequence components are derived, and a new technique is proposed using the highest aggregate votes. Space vector transform is applied to decompose positive sequences and negative sequences from power signals. From the pre-state and post-state information, mathematical relationships of superimposed components are generated, and angle variation in between the superimposed component and pre-event component of each sequence is computed. This technique identifies the islanding state, even under perfectly power match conditions without the threshold setting, and hence overcomes the non-detection zone (NDZ) problem. Also, the non-islanding states such as the variable fault resistance, single-pole tripping, recloser operation, non-linear loads, and reconnection of the DEU are addressed. The proposed technique is verified using the thirteen bus microgrid simulation model in a real-time digital environment. The proposed technique is found to be fast and accurate on the change in source capacity, location, and type of DEU.
Voting Technique for Islanding Detection in Microgrid Using Superimposed Angle Variations
2021-01-21
199849 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Frame Synchronisation using Superimposed Sequences
Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 1997
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