Graph traversal-based automation of fault detection, location, and recovery on MVDC shipboard power systems

Christoph Diendorfer; Jean Denise Hallewell Haslwanter; Mark Stanovich; Karl Schoder; Mike Sloderbeck; Harsha Ravindra; Mischa Steurer

doi:10.1109/ICDCM.2017.8001032

Graph traversal-based automation of fault detection, location, and recovery on MVDC shipboard power systems

Christoph Diendorfer, Jean Denise Hallewell Haslwanter, Mark Stanovich, Karl Schoder, Mike Sloderbeck, Harsha Ravindra, Mischa Steurer

Research Center Wels

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag

9 Zitate (Scopus)

Abstract

This paper describes a graph traversal-based method for automating system-wide programming of differentialfault protection and generation of fault isolation steps in MVDC shipboard power systems (SPS). Automation is highly desired due to the increased complexity of isolating faults using disconnect switches rather than breakers. The method in this paper describes the derivation of a graph abstraction from the electrical system that is then used for computing a minimal but sufficient isolation sequence consisting of commands issued to breakers and switching converters.

Originalsprache	Englisch
Titel	2017 IEEE 2nd International Conference on Direct Current Microgrids, ICDCM 2017
Herausgeber (Verlag)	Springer
Seiten	119-124
Seitenumfang	6
ISBN (elektronisch)	9781479998791
DOIs	https://doi.org/10.1109/ICDCM.2017.8001032
Publikationsstatus	Veröffentlicht - 3 Aug. 2017
Veranstaltung	International Conference on DC Microgrids - Nürnberg, Deutschland Dauer: 27 Juni 2017 → 29 Juni 2017 http://www.icdcm.co/

Publikationsreihe

Name	2017 IEEE 2nd International Conference on Direct Current Microgrids, ICDCM 2017

Konferenz

Konferenz	International Conference on DC Microgrids
Land/Gebiet	Deutschland
Ort	Nürnberg
Zeitraum	27.06.2017 → 29.06.2017
Internetadresse	http://www.icdcm.co/

Schlagwörter

fault management
MVDC breakerless system

Zugriff auf Dokument

10.1109/ICDCM.2017.8001032

Andere Dateien und Links

Link to publication in Scopus

Zitieren

Diendorfer, C., Hallewell Haslwanter, J. D., Stanovich, M., Schoder, K., Sloderbeck, M., Ravindra, H., & Steurer, M. (2017). Graph traversal-based automation of fault detection, location, and recovery on MVDC shipboard power systems. in 2017 IEEE 2nd International Conference on Direct Current Microgrids, ICDCM 2017 (S. 119-124). Artikel 8001032 (2017 IEEE 2nd International Conference on Direct Current Microgrids, ICDCM 2017). Springer. https://doi.org/10.1109/ICDCM.2017.8001032

Diendorfer, Christoph ; Hallewell Haslwanter, Jean Denise ; Stanovich, Mark et al. / Graph traversal-based automation of fault detection, location, and recovery on MVDC shipboard power systems. 2017 IEEE 2nd International Conference on Direct Current Microgrids, ICDCM 2017. Springer, 2017. S. 119-124 (2017 IEEE 2nd International Conference on Direct Current Microgrids, ICDCM 2017).

@inproceedings{4f78f19239d741178d649dee30c77bf5,

title = "Graph traversal-based automation of fault detection, location, and recovery on MVDC shipboard power systems",

abstract = "This paper describes a graph traversal-based method for automating system-wide programming of differentialfault protection and generation of fault isolation steps in MVDC shipboard power systems (SPS). Automation is highly desired due to the increased complexity of isolating faults using disconnect switches rather than breakers. The method in this paper describes the derivation of a graph abstraction from the electrical system that is then used for computing a minimal but sufficient isolation sequence consisting of commands issued to breakers and switching converters.",

keywords = "fault management, MVDC breakerless system, fault management, MVDC breakerless system",

author = "Christoph Diendorfer and {Hallewell Haslwanter}, {Jean Denise} and Mark Stanovich and Karl Schoder and Mike Sloderbeck and Harsha Ravindra and Mischa Steurer",

year = "2017",

month = aug,

day = "3",

doi = "10.1109/ICDCM.2017.8001032",

language = "English",

series = "2017 IEEE 2nd International Conference on Direct Current Microgrids, ICDCM 2017",

publisher = "Springer",

pages = "119--124",

booktitle = "2017 IEEE 2nd International Conference on Direct Current Microgrids, ICDCM 2017",

address = "Germany",

note = "International Conference on DC Microgrids ; Conference date: 27-06-2017 Through 29-06-2017",

url = "http://www.icdcm.co/",

}

Diendorfer, C , Hallewell Haslwanter, JD, Stanovich, M, Schoder, K, Sloderbeck, M, Ravindra, H & Steurer, M 2017, Graph traversal-based automation of fault detection, location, and recovery on MVDC shipboard power systems. in 2017 IEEE 2nd International Conference on Direct Current Microgrids, ICDCM 2017., 8001032, 2017 IEEE 2nd International Conference on Direct Current Microgrids, ICDCM 2017, Springer, S. 119-124, International Conference on DC Microgrids, Nürnberg, Deutschland, 27.06.2017. https://doi.org/10.1109/ICDCM.2017.8001032

Graph traversal-based automation of fault detection, location, and recovery on MVDC shipboard power systems. / Diendorfer, Christoph ; Hallewell Haslwanter, Jean Denise; Stanovich, Mark et al.
2017 IEEE 2nd International Conference on Direct Current Microgrids, ICDCM 2017. Springer, 2017. S. 119-124 8001032 (2017 IEEE 2nd International Conference on Direct Current Microgrids, ICDCM 2017).

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag

TY - GEN

T1 - Graph traversal-based automation of fault detection, location, and recovery on MVDC shipboard power systems

AU - Diendorfer, Christoph

AU - Hallewell Haslwanter, Jean Denise

AU - Stanovich, Mark

AU - Schoder, Karl

AU - Sloderbeck, Mike

AU - Ravindra, Harsha

AU - Steurer, Mischa

PY - 2017/8/3

Y1 - 2017/8/3

N2 - This paper describes a graph traversal-based method for automating system-wide programming of differentialfault protection and generation of fault isolation steps in MVDC shipboard power systems (SPS). Automation is highly desired due to the increased complexity of isolating faults using disconnect switches rather than breakers. The method in this paper describes the derivation of a graph abstraction from the electrical system that is then used for computing a minimal but sufficient isolation sequence consisting of commands issued to breakers and switching converters.

AB - This paper describes a graph traversal-based method for automating system-wide programming of differentialfault protection and generation of fault isolation steps in MVDC shipboard power systems (SPS). Automation is highly desired due to the increased complexity of isolating faults using disconnect switches rather than breakers. The method in this paper describes the derivation of a graph abstraction from the electrical system that is then used for computing a minimal but sufficient isolation sequence consisting of commands issued to breakers and switching converters.

KW - fault management

KW - MVDC breakerless system

KW - fault management

KW - MVDC breakerless system

UR - http://www.scopus.com/inward/record.url?scp=85028651767&partnerID=8YFLogxK

U2 - 10.1109/ICDCM.2017.8001032

DO - 10.1109/ICDCM.2017.8001032

M3 - Conference contribution

T3 - 2017 IEEE 2nd International Conference on Direct Current Microgrids, ICDCM 2017

SP - 119

EP - 124

BT - 2017 IEEE 2nd International Conference on Direct Current Microgrids, ICDCM 2017

PB - Springer

T2 - International Conference on DC Microgrids

Y2 - 27 June 2017 through 29 June 2017

ER -

Diendorfer C , Hallewell Haslwanter JD, Stanovich M, Schoder K, Sloderbeck M, Ravindra H et al. Graph traversal-based automation of fault detection, location, and recovery on MVDC shipboard power systems. in 2017 IEEE 2nd International Conference on Direct Current Microgrids, ICDCM 2017. Springer. 2017. S. 119-124. 8001032. (2017 IEEE 2nd International Conference on Direct Current Microgrids, ICDCM 2017). doi: 10.1109/ICDCM.2017.8001032

Graph traversal-based automation of fault detection, location, and recovery on MVDC shipboard power systems

Abstract

Publikationsreihe

Konferenz

Schlagwörter

Zugriff auf Dokument

Andere Dateien und Links

Fingerprint

Zitieren