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

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution

9 Citations (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.

Original language	English
Title of host publication	2017 IEEE 2nd International Conference on Direct Current Microgrids, ICDCM 2017
Publisher	Springer
Pages	119-124
Number of pages	6
ISBN (Electronic)	9781479998791
DOIs	https://doi.org/10.1109/ICDCM.2017.8001032
Publication status	Published - 3 Aug 2017
Event	International Conference on DC Microgrids - Nürnberg, Germany Duration: 27 Jun 2017 → 29 Jun 2017 http://www.icdcm.co/

Publication series

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

Conference

Conference	International Conference on DC Microgrids
Country/Territory	Germany
City	Nürnberg
Period	27.06.2017 → 29.06.2017
Internet address	http://www.icdcm.co/

Keywords

fault management
MVDC breakerless system

Access to Document

10.1109/ICDCM.2017.8001032

Cite this

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 (pp. 119-124). Article 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. pp. 119-124 (2017 IEEE 2nd International Conference on Direct Current Microgrids, ICDCM 2017).

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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",

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doi = "10.1109/ICDCM.2017.8001032",

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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",

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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, pp. 119-124, International Conference on DC Microgrids, Nürnberg, Germany, 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. p. 119-124 8001032 (2017 IEEE 2nd International Conference on Direct Current Microgrids, ICDCM 2017).

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution

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

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M3 - Conference contribution

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

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

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T2 - International Conference on DC Microgrids

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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. p. 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

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Keywords

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