DocumentCode
3731137
Title
Research on genetic algorithm for ship integrated power system network reconfiguration
Author
Zheng Wang; Li Xia; Di Wu
Author_Institution
School of Electrical Engineering, Naval University of Engineering, Wuhan, China
fYear
2015
Firstpage
1575
Lastpage
1579
Abstract
Ship integrated power system adopt electric power propulsion, power network and electric power network are integrated into complicated one. Network reconfiguration of ship integrated power system is a typical non-linear optimization. A model of ship integrated power system is established. Genetic algorithm is used to solve reconfiguration problem. The result of simulation shows that genetic algorithm can reconfigure ship integrated power system efficiently.
Keywords
"Artificial neural networks","Genetics","Phase locked loops"
Publisher
ieee
Conference_Titel
Chinese Automation Congress (CAC), 2015
Type
conf
DOI
10.1109/CAC.2015.7382752
Filename
7382752
Link To Document