Online Parameter Estimation for Fault Identification in Multi-Terminal DC Distribution Grids
Fast and accurate identification of short-circuit faults is important for post-fault service restoration and maintenance in DC distribution grids. Yet multiple power sources and complex system topologies complicate the fault identification in multi-terminal DC distribution grids. To address this cha...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-09-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/14/18/5630 |
_version_ | 1797519507505283072 |
---|---|
author | Ting Wang Liliuyuan Liang Xinrang Feng Ferdinanda Ponci Antonello Monti |
author_facet | Ting Wang Liliuyuan Liang Xinrang Feng Ferdinanda Ponci Antonello Monti |
author_sort | Ting Wang |
collection | DOAJ |
description | Fast and accurate identification of short-circuit faults is important for post-fault service restoration and maintenance in DC distribution grids. Yet multiple power sources and complex system topologies complicate the fault identification in multi-terminal DC distribution grids. To address this challenge, this paper introduces an approach that achieves fast online identification of both the location and the severity of faults in multi-terminal DC distribution grids. First, a generic model describing the dynamic response of DC lines to both pole-to-ground and pole-to-pole faults with fault currents injected from both line ends is developed. On this basis, a Kalman filter is adopted to estimate both the fault location and resistance. In the real-time simulation of various fault scenarios in a three-terminal DC distribution grid model with Opal-RT platform, the proposed method is proved to be effective with a short response time of less than 1 ms. |
first_indexed | 2024-03-10T07:43:46Z |
format | Article |
id | doaj.art-a5659a9676a34e4088ff7d0af6e9ef8a |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-10T07:43:46Z |
publishDate | 2021-09-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-a5659a9676a34e4088ff7d0af6e9ef8a2023-11-22T12:50:33ZengMDPI AGEnergies1996-10732021-09-011418563010.3390/en14185630Online Parameter Estimation for Fault Identification in Multi-Terminal DC Distribution GridsTing Wang0Liliuyuan Liang1Xinrang Feng2Ferdinanda Ponci3Antonello Monti4Institute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University, 52074 Aachen, GermanyContemporary Amperex Technology Co., Limited (CATL), Ningde 352100, ChinaEnvision Digital Shanghai, Shanghai 200050, ChinaInstitute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University, 52074 Aachen, GermanyInstitute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University, 52074 Aachen, GermanyFast and accurate identification of short-circuit faults is important for post-fault service restoration and maintenance in DC distribution grids. Yet multiple power sources and complex system topologies complicate the fault identification in multi-terminal DC distribution grids. To address this challenge, this paper introduces an approach that achieves fast online identification of both the location and the severity of faults in multi-terminal DC distribution grids. First, a generic model describing the dynamic response of DC lines to both pole-to-ground and pole-to-pole faults with fault currents injected from both line ends is developed. On this basis, a Kalman filter is adopted to estimate both the fault location and resistance. In the real-time simulation of various fault scenarios in a three-terminal DC distribution grid model with Opal-RT platform, the proposed method is proved to be effective with a short response time of less than 1 ms.https://www.mdpi.com/1996-1073/14/18/5630DC distribution gridsfault identificationfault locationprotectionKalman filtersparameter estimation |
spellingShingle | Ting Wang Liliuyuan Liang Xinrang Feng Ferdinanda Ponci Antonello Monti Online Parameter Estimation for Fault Identification in Multi-Terminal DC Distribution Grids Energies DC distribution grids fault identification fault location protection Kalman filters parameter estimation |
title | Online Parameter Estimation for Fault Identification in Multi-Terminal DC Distribution Grids |
title_full | Online Parameter Estimation for Fault Identification in Multi-Terminal DC Distribution Grids |
title_fullStr | Online Parameter Estimation for Fault Identification in Multi-Terminal DC Distribution Grids |
title_full_unstemmed | Online Parameter Estimation for Fault Identification in Multi-Terminal DC Distribution Grids |
title_short | Online Parameter Estimation for Fault Identification in Multi-Terminal DC Distribution Grids |
title_sort | online parameter estimation for fault identification in multi terminal dc distribution grids |
topic | DC distribution grids fault identification fault location protection Kalman filters parameter estimation |
url | https://www.mdpi.com/1996-1073/14/18/5630 |
work_keys_str_mv | AT tingwang onlineparameterestimationforfaultidentificationinmultiterminaldcdistributiongrids AT liliuyuanliang onlineparameterestimationforfaultidentificationinmultiterminaldcdistributiongrids AT xinrangfeng onlineparameterestimationforfaultidentificationinmultiterminaldcdistributiongrids AT ferdinandaponci onlineparameterestimationforfaultidentificationinmultiterminaldcdistributiongrids AT antonellomonti onlineparameterestimationforfaultidentificationinmultiterminaldcdistributiongrids |