Implementation of an Intelligent Reconfiguration Algorithm for an Electric Ship Power System

In all-electric navy ships, severe damages or faults may occur during battle conditions. This might even affect the generators and as a result, critical loads might suffer from power deficiency for a long time and ultimately lead to a complete system collapse. A fast reconfiguration of the power pat...

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Bibliographic Details
Published in:2009 IEEE Industry Applications Society Annual Meeting pp. 1 - 8
Main Authors: Mitra, P., Venayagamoorthy, G.K.
Format: Conference Proceeding
Language:English
Published: IEEE 01.10.2009
Subjects:
Ant colony optimization
Intelligent systems
Laboratories
Marine vehicles
Particle swarm optimization
Power system dynamics
Power system simulation
Power systems
Real time systems
USA Councils
ISBN:1424434750, 9781424434756
ISSN:0197-2618
Online Access:Get full text
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Summary:In all-electric navy ships, severe damages or faults may occur during battle conditions. This might even affect the generators and as a result, critical loads might suffer from power deficiency for a long time and ultimately lead to a complete system collapse. A fast reconfiguration of the power path is therefore necessary in order to serve the critical loads and to maintain a proper power balance in ship power system. This paper proposes a fast, intelligent reconfiguration algorithm, where Pareto optimal solutions are obtained by small population based particle swarm optimization (SPPSO) from two conflicting objective functions. From the Pareto set, the final solution is chosen depending on users' preference. SPPSO is a variant of PSO which works with very few numbers of particles with a regeneration of new solutions within the search space after few iterations. This concept of regeneration in SPPSO make the algorithm really fast and enhances its capability to a large extent. The strength of the proposed reconfiguration strategy is tested in real-time digital simulator (RTDS) environment.
ISBN:1424434750
9781424434756
ISSN:0197-2618
DOI:10.1109/IAS.2009.5324823