Islanding Detection in Rural Distribution Systems

This paper summarizes the literature on detection of islanding resulting from distributed generating capabilities in a power distribution system, with emphasis on the rural distribution systems. It is important to understand the legacy technology and equipment in the rural distribution electrical en...

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Main Authors: Wen Fan, Ning Kang, Robert Hebner, Xianyong Feng
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/20/5503
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author Wen Fan
Ning Kang
Robert Hebner
Xianyong Feng
author_facet Wen Fan
Ning Kang
Robert Hebner
Xianyong Feng
author_sort Wen Fan
collection DOAJ
description This paper summarizes the literature on detection of islanding resulting from distributed generating capabilities in a power distribution system, with emphasis on the rural distribution systems. It is important to understand the legacy technology and equipment in the rural distribution electrical environment due to the growth of power electronics and the potential for adding the new generations of intelligent sensors. The survey identified four areas needing further research: 1. Robustness in the presence of distribution grid disturbances; 2. the future role of artificial intelligence in the islanding application; 3. more realistic standard tests for the emerging electrical environment; 4. smarter sensors. In addition, this paper presents a synchro-phasor-based islanding detection approach based on a wireless sensor network developed by the University of Texas at Austin. Initial test results in a control hardware-in-the-loop (CHIL) simulation environment suggest the effectiveness of the developed method.
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spelling doaj.art-c2b99dfe5e8b4709b713e497a0be36f62023-11-20T17:51:45ZengMDPI AGEnergies1996-10732020-10-011320550310.3390/en13205503Islanding Detection in Rural Distribution SystemsWen Fan0Ning Kang1Robert Hebner2Xianyong Feng3Department of Electrical and Computer Engineering, University of Kentucky, Lexington, KY 40506, USAPower and Energy Systems Department, Idaho National Laboratory, Idaho Falls, ID 83415, USACenter for Electromechanics, University of Texas at Austin, Austin, TX 78758, USACenter for Electromechanics, University of Texas at Austin, Austin, TX 78758, USAThis paper summarizes the literature on detection of islanding resulting from distributed generating capabilities in a power distribution system, with emphasis on the rural distribution systems. It is important to understand the legacy technology and equipment in the rural distribution electrical environment due to the growth of power electronics and the potential for adding the new generations of intelligent sensors. The survey identified four areas needing further research: 1. Robustness in the presence of distribution grid disturbances; 2. the future role of artificial intelligence in the islanding application; 3. more realistic standard tests for the emerging electrical environment; 4. smarter sensors. In addition, this paper presents a synchro-phasor-based islanding detection approach based on a wireless sensor network developed by the University of Texas at Austin. Initial test results in a control hardware-in-the-loop (CHIL) simulation environment suggest the effectiveness of the developed method.https://www.mdpi.com/1996-1073/13/20/5503distribution systemislandingsensorstesting
spellingShingle Wen Fan
Ning Kang
Robert Hebner
Xianyong Feng
Islanding Detection in Rural Distribution Systems
Energies
distribution system
islanding
sensors
testing
title Islanding Detection in Rural Distribution Systems
title_full Islanding Detection in Rural Distribution Systems
title_fullStr Islanding Detection in Rural Distribution Systems
title_full_unstemmed Islanding Detection in Rural Distribution Systems
title_short Islanding Detection in Rural Distribution Systems
title_sort islanding detection in rural distribution systems
topic distribution system
islanding
sensors
testing
url https://www.mdpi.com/1996-1073/13/20/5503
work_keys_str_mv AT wenfan islandingdetectioninruraldistributionsystems
AT ningkang islandingdetectioninruraldistributionsystems
AT roberthebner islandingdetectioninruraldistributionsystems
AT xianyongfeng islandingdetectioninruraldistributionsystems