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- W3139182760 abstract "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." @default.
- W3139182760 created "2021-03-29" @default.
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- W3139182760 date "2021-01-21" @default.
- W3139182760 modified "2023-09-23" @default.
- W3139182760 title "Voting Technique for Islanding Detection in Microgrid Using Superimposed Angle Variations" @default.
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- W3139182760 doi "https://doi.org/10.1109/sefet48154.2021.9375723" @default.
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