Abstract
The Navy's next generation electric ship's power system will support high energy loads and critical equipment. Energy storage modules will be needed to meet the demands of these loads as well as increase the overall high quality of service. This paper describes an approach to evaluate the impact of energy storage module location and sizing for ship survivability and quality of service. Specifically, a multi-objective optimization algorithm, the multi-objective particle swarm optimization -, is used to obtain Pareto optimal solutions considering survivability, quality of service, and cost. Results based multi-objective particle swarm optimization study show that optimal ESM location and sizing improves ship power system's survivability and quality of service with a possible minimum cost. © 2011 IEEE.
Recommended Citation
C. Yan et al., "Optimal Location and Sizing of Energy Storage Modules for a Smart Electric Ship Power System," IEEE SSCI 2011 - Symposium Series on Computational Intelligence - CIASG 2011: 2011 IEEE Symposium on Computational Intelligence Applications in Smart Grid, pp. 123 - 130, article no. 5953336, Institute of Electrical and Electronics Engineers, Aug 2011.
The definitive version is available at https://doi.org/10.1109/CIASG.2011.5953336
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Electric ship; energy storage; MOPSO; QoS; survivability
International Standard Book Number (ISBN)
978-142449894-9
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
17 Aug 2011
