DocumentCode :
2291092
Title :
Optimal location and sizing of energy storage modules for a smart electric ship power system
Author :
Yan, Chuan ; Venayagamoorthy, Ganesh K. ; Corzine, Keith A.
Author_Institution :
Real-Time Power & Intell. Syst. Lab., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
fYear :
2011
fDate :
11-15 April 2011
Firstpage :
1
Lastpage :
8
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.
Keywords :
Pareto optimisation; electric vehicles; energy storage; particle swarm optimisation; power systems; quality of service; ships; Pareto optimal solution; energy storage module sizing; multiobjective optimization algorithm; multiobjective particle swarm optimization; optimal ESM location; optimal location; quality of service; ship power system survivability; smart electric ship power system; Energy storage; Generators; Marine vehicles; Optimization; Particle swarm optimization; Power systems; Quality of service; Electric ship; MOPSO; QoS; energy storage; survivability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence Applications In Smart Grid (CIASG), 2011 IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-9893-2
Type :
conf
DOI :
10.1109/CIASG.2011.5953336
Filename :
5953336
Link To Document :
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