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The Journal of Engineering

HIF detection in distribution networks based on Kullback–Leibler divergence

Content Provider	IET Digital Library
Author	Ejieh, Shiva Nezamzadeh Sadeghkhani, Iman
Abstract	A high-impedance fault (HIF) is mostly associated with the arcing phenomenon, and its main features are low current, randomness, non-linearity, and asymmetry. The low fault current of an HIF is a major challenge for overcurrent-based protection system of distribution networks. Power loss, potential fire hazard, and electric shock are consequences of an undetected HIF. This study presents a time-domain HIF detection algorithm based on monitoring the substation current waveform. Using the Kullback–Leibler divergence similarity measure, the non-linearity, and asymmetry features of two subsequent half cycles of the current waveform are quantified as the HIF detection criterion. A time duration-based criterion is also used to distinguish HIFs from the load, capacitor, feeder, and distributed energy resource switchings and the voltage sag and swell events. The proposed scheme satisfactorily works in the presence of non-linear loads. Also, it does not require the training data set, transformation, and calculation of harmonic/sequence components. Extensive time-domain simulation case studies using the IEEE 13 and 34 node test feeders demonstrate the merits of the proposed HIF detection algorithm.
Starting Page	29
Ending Page	36
Page Count	8
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 1, Jan (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2019.0001
Journal	IET Generation, Transmission & Distribution
Publisher Date	2019-09-20
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Arcing Phenomenon Asymmetry Features Distributed Energy Resource Switchings Distributed Power Generation Distribution Network Extensive Time-domain Simulation Case Studies Fault Current Fault Diagnosis Fault Location HIF Detection Criterion High-impedance Fault Kullback–Leibler Divergence Similarity Measure Low Fault Current Nonlinear Load Nonlinearity Overcurrent Protection Overcurrent-based Protection System Potential Fire Hazard Power Distribution Fault Power Distribution Protection Power Engineering Computing Power Loss Power Supply Quality Substation Current Waveform Substations Time Domain Analysis Time Duration-based Criterion Time-domain HIF Detection Algorithm Undetected HIF
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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