Empirical Evaluation of Microgrid Fault Identification Models from a Statistical Perspective
Rashmi S. Phasate, Asha D. Shendge, Jagdish G. Chaudhari, Bhupendra Kumar
Abstract:Microgrid fault identification models are developed via integration of extensive data collection, pre-processing of collected data, current & voltage segmentation, feature representation, identification of variant feature sets, their classification & post-processing operations. Existing models that perform microgrid fault identification are either highly complex, or cannot be applied for heterogeneous fault types. Moreover, these models also showcase large variance in terms of their qualitative & q… Show more
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