Title :
Network reconfiguration of the shipboard power system based on logistic function particle swarm optimization
Author :
Xiao, Jianmei ; Li, Junjun ; Wang, Xihuai
Author_Institution :
Dept. of Electr. & Autom., Shanghai Maritime Univ., Shanghai
Abstract :
A sort of annealing particle swarm optimization algorithm based on logistic function is proposed to deal with the problem of shipboard power system network reconfiguration. In this algorithm, part of the particle swarm is annealed based on the character of the logistic function. This method can solve the problem of local minimum of the standard particle swarm optimization algorithm effectively. The efficiency of the algorithm is improved; at the same time the computation time is well controlled. Shipboard power system network reconfiguration tests show that better service restoration can be provided by this method, which possesses strong convergence capability.
Keywords :
particle swarm optimisation; power systems; ships; simulated annealing; annealing particle swarm optimization algorithm; logistic function; service restoration; shipboard power system network reconfiguration; Automation; Electronic mail; Intelligent control; Logistics; Particle swarm optimization; Power system control; Power system restoration; Power system simulation; Power systems; Simulated annealing; Logistic function; network reconfiguration; particle swarm optimization; shipboard power system; simulated annealing;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593803