DocumentCode :
17557
Title :
Automatic Reconfiguration of a Ship´s Power System Using Graph Theory Principles
Author :
Nelson, Mark ; Jordan, Paul E.
Author_Institution :
Newport News Shipbuilding, Huntington Ingalls Ind., Newport, VA, USA
Volume :
51
Issue :
3
fYear :
2015
fDate :
May-June 2015
Firstpage :
2651
Lastpage :
2656
Abstract :
Shipboard control systems equip an expert operator with the ability to safely open and close breakers to facilitate electric plant operations. In more advanced systems, ship integrated power systems are equipped with automatic control systems that provide power management by automatically connecting and disconnecting power generation sources based on plant´s present load and online generation capacity. What is generally lacking, however, is an effective manner to provide autonomous reconfiguration of the power system in response to electric plant casualties and ship´s mission changes when the ship´s electric plant is in a degraded condition. This paper explores the use of graph theory principles as they apply to developing automation control system algorithms to provide electric plant operations full autonomous control in the event of electric plant casualties and/or ship´s mission changes.
Keywords :
energy management systems; graph theory; marine power systems; power system control; power system reliability; automatic control systems; autonomous reconfiguration; breakers; electric plant casualties; electric plant operations; expert operator; full autonomous control; graph theory principles; mission changes; online generation capacity; power generation sources; power management; ship integrated power systems; shipboard control systems; Circuit breakers; Cities and towns; Generators; Graph theory; Marine vehicles; Medium voltage; Automatic Reconfiguration; Automatic reconfiguration; Graph Theory; Graph-based Models; Recovery from Casualties; Shipboard Power Management; graph theory; graph-based models; recovery from casualties; shipboard power management;
fLanguage :
English
Journal_Title :
Industry Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
0093-9994
Type :
jour
DOI :
10.1109/TIA.2014.2365622
Filename :
6939694
Link To Document :
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