DocumentCode
2546042
Title
Intelligent methods for reconfiguration of terrestrial and shipboard power systems
Author
Yu, Qiuli ; Solanki, Jignesh ; Padmati, Koteshwar ; Kumar, Nikhil ; Srivastava, Anurag ; Bastos, Jimena L. ; Schulz, Noel N.
Author_Institution
Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS
fYear
2008
fDate
20-24 July 2008
Firstpage
1
Lastpage
1
Abstract
Increased reliability issues for terrestrial power systems are pushing more and more animation down to the distribution system. Additionally shipboard power systems have reconfiguration requirements to meet survivability and fight through capabilities. In each of these cases intelligent systems provide a solution for developing reconfiguration algorithms at the distribution level. While the objectives for two systems may be different, there is overlap. Additionally the terrestrial power systems have established IEEE test cases that provide a platform for verifying algorithm development. This panel summary will discuss efforts at Mississippi State University to use intelligent system techniques for distribution reconfiguration. Our research team has applications of multi-agent systems[2-10], genetic algorithms[11-13] and particle swarm optimization [12] and for different aspects of reconfiguration for both terrestrial and shipboard power systems. The various techniques and their results will be compared. Also several different types systems related to shipboard power systems will be introduced.
Keywords
power systems; intelligent methods; shipboard power systems; terrestrial power systems; Intelligent sensors; Intelligent systems; Multiagent systems; Particle swarm optimization; Power engineering and energy; Power engineering computing; Power system analysis computing; Power system reliability; Power system restoration; Power systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
Conference_Location
Pittsburgh, PA
ISSN
1932-5517
Print_ISBN
978-1-4244-1905-0
Electronic_ISBN
1932-5517
Type
conf
DOI
10.1109/PES.2008.4596886
Filename
4596886
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