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
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"
Conference_Titel :
Chinese Automation Congress (CAC), 2015
DOI :
10.1109/CAC.2015.7382752