Islanding Detection Using RT-Lab

As renewable energy is widely used, distributed power generation systems are also used in wide range. However, some problems in renewable power systems have to be addressed. Among these problems, the islanding operation has the most important impact to the safety of utility workers and the service l...

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Main Authors: Wu Yu-Chi, Lin Jiajun, Chen Jun-Han, Ming-Yu Hsieh
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201925604005
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spelling doaj-e84101b8998c498ebbb56ff7f55934c12021-02-02T08:46:48ZengEDP SciencesMATEC Web of Conferences2261-236X2019-01-012560400510.1051/matecconf/201925604005matecconf_icmme2019_04005Islanding Detection Using RT-LabWu Yu-Chi0Lin Jiajun1Chen Jun-Han2Ming-Yu Hsieh3Department of Electrical Engineering, National United UniversityDepartment of Electrical Power, South China University of TechnologyDepartment of Electrical Engineering, National United UniversityDepartment of Chemical Engineering, National United UniversityAs renewable energy is widely used, distributed power generation systems are also used in wide range. However, some problems in renewable power systems have to be addressed. Among these problems, the islanding operation has the most important impact to the safety of utility workers and the service lives of equipment. This paper studies islanding detection for a microgrid system with unbalanced loads and its implementation on a real-time simulator (RT-Lab) to accelerate simulations. The presented islanding detection approach utilizes rate of change of frequency (ROCOF), under/over frequency, and negative sequence current injection methods. Decoupled double synchronous reference frame software phase lock loop (DDSRF-SPLL) is used to synchronize the grid-connected power converter with the utility voltages under unbalanced load conditions. Two cases are tested in real time. The presented approach detects the islanding in 0.09 seconds after the fault occurs, and the voltage at the point of common coupling (PCC) returns stable in 0.1 seconds after the fault occurs, satisfying the IEEE Standard 1547-2003.https://doi.org/10.1051/matecconf/201925604005
collection DOAJ
language English
format Article
sources DOAJ
author Wu Yu-Chi
Lin Jiajun
Chen Jun-Han
Ming-Yu Hsieh
spellingShingle Wu Yu-Chi
Lin Jiajun
Chen Jun-Han
Ming-Yu Hsieh
Islanding Detection Using RT-Lab
MATEC Web of Conferences
author_facet Wu Yu-Chi
Lin Jiajun
Chen Jun-Han
Ming-Yu Hsieh
author_sort Wu Yu-Chi
title Islanding Detection Using RT-Lab
title_short Islanding Detection Using RT-Lab
title_full Islanding Detection Using RT-Lab
title_fullStr Islanding Detection Using RT-Lab
title_full_unstemmed Islanding Detection Using RT-Lab
title_sort islanding detection using rt-lab
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2019-01-01
description As renewable energy is widely used, distributed power generation systems are also used in wide range. However, some problems in renewable power systems have to be addressed. Among these problems, the islanding operation has the most important impact to the safety of utility workers and the service lives of equipment. This paper studies islanding detection for a microgrid system with unbalanced loads and its implementation on a real-time simulator (RT-Lab) to accelerate simulations. The presented islanding detection approach utilizes rate of change of frequency (ROCOF), under/over frequency, and negative sequence current injection methods. Decoupled double synchronous reference frame software phase lock loop (DDSRF-SPLL) is used to synchronize the grid-connected power converter with the utility voltages under unbalanced load conditions. Two cases are tested in real time. The presented approach detects the islanding in 0.09 seconds after the fault occurs, and the voltage at the point of common coupling (PCC) returns stable in 0.1 seconds after the fault occurs, satisfying the IEEE Standard 1547-2003.
url https://doi.org/10.1051/matecconf/201925604005
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