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Please use this identifier to cite or link to this item: http://idr.iitbbs.ac.in/jspui/handle/2008/1455
Title: High impedance fault detection in microgrid using maximal overlapping discrete wavelet transform and decision tree
Authors: Kar S.
Samantaray S.R.
Keywords: Decision tree
High impedance fault
Maximal overlapping discrete wavelet transform
Microgrid
Issue Date: 2017
Citation: 2
Abstract: The paper presents a high impedance fault (HIF) detection scheme for microgrid using maximal overlapping discrete wavelet transform (MODWT) and decision tree (DT). The small, nonlinear, random and widely varying fault current of HIF makes the over-current relay insensitive. Thus, timefrequency information is required to distinguish HIF from nofault event. The proposed work start with retrieving the fault current which is pre-process through (decompose using) MODWT to get the details and approximation coefficient. Further, some statistical features are estimated using the details and approximation coefficient. The features extracted are used to train decision tree (DT) for accurate classification of HIF from no-fault. The proposed scheme is tested for HIFs detection in microgrid for different operating conditions. The test results show that the proposed scheme provides an effective protection measure against HIFs for safe and secured operation of microgrid. � 2016 IEEE.
URI: http://dx.doi.org/10.1109/ICEPES.2016.7915940
http://10.10.32.48:8080/jspui/handle/2008/1455
Appears in Collections:Research Publications

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