NDLI: Evidential reasoning based approach to high impedance fault detection in power distribution systems

Content Provider	IET Digital Library
Author	Soheili, Adel Sadeh, Javad
Abstract	Power system faults with the possibility of threatening public safety are of highest importance. High-impedance faults (HIFs), considering the companionship with electrical arcs, occur on power distribution system feeders with close proximity to the population. The randomness, low current, non-linearity and dependency towards network topology have commonly resulted in failed detection. Moreover, typical system events such as switching events have shown the same pattern which has led to false detection and major distrust in available detection schemes. In this study, a new HIF detection algorithm based on the concept of evidential reasoning (ER) has been proposed. The employment of various basic attributes with different advantages results in a wider detection scope and higher detection rates. The designed scheme has the ability to successfully detect and distinguish switching events from HIFs. Rigorous simulations via the IEEE 13-Node standard distribution system and experimental real-world HIF data acquired from southwest Tehran Distribution Company have provided proof to these claims. Simulation trials in low-current single-phase extensions have also shown promising results. Unaffectedness in regards to network topology, fault resistance values, fault position and lack of sufficient information regarding basic attributes are additional virtues of the proposed method.
Starting Page	1325
Ending Page	1336
Page Count	12
ISSN	17518687
Volume Number	11
e-ISSN	17518695
Issue Number	Issue 5, Mar (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/11/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2016.1657
Journal	IET Generation, Transmission & Distribution
Publisher Date	2016-12-21
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Distribution Network Electrical Arcs Electrical Safety Evidential Reasoning Failed Detection Fault Location Fault Position Fault Resistance Value Fault Tolerance HIF Detection Algorithm High Impedance Fault Detection IEEE 13-node Standard Distribution System Network Topology Plant Engineering, Maintenance And Safety Power Distribution Fault Power Distribution System Feeder Power System Fault Power System Measurement And Metering Power System Protection Public Safety Southwest Tehran Distribution Company Switching Event
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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