Title :
Statistically robust design for the all-electric ship from a network theoretic perspective
Author :
Taylor, Josh A. ; Hover, Franz S.
Author_Institution :
Dept. of Mech. Eng., Massachusetts Inst. of Technol., Cambridge, MA
Abstract :
Recent progress in understanding the robustness properties of large-scale networks leads one to consider how such results can inform design of the all-electric ship. Network robustness seems to be correlated with certain statistical properties, which may give rise to a natural design procedure wherein the statistics of the network become the main design goals. This would represent a departure from the current design paradigm. We have performed systematic cascading failure simulations based on a notional cruiser topology, in comparison with equalcost random and scale-free networks. Although preliminary, our results show that some advantage can be obtained through the alternative designs.
Keywords :
failure analysis; ships; statistical analysis; all-electric ship; large-scale networks; notional cruiser topology; statistical robust design; systematic cascading failure simulations; Control systems; IP networks; Large-scale systems; Marine vehicles; Network topology; Power grids; Power system dynamics; Power system interconnection; Power system simulation; Robustness;
Conference_Titel :
Electric Ship Technologies Symposium, 2009. ESTS 2009. IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-3438-1
Electronic_ISBN :
978-1-4244-3439-8
DOI :
10.1109/ESTS.2009.4906489