Title :
Multiobjective optimal service restoration for shipboard power system
Author :
Jing, Huang ; Yan, Chen ; Xiaofeng, Zhang
Author_Institution :
Coll. of Electr. & Inf. Eng., Naval Univ. of Eng., Wuhan, China
Abstract :
A multiobjective optimal service restoration methodology for shipboard power system (SPS) using a simulated annealing genetic algorithm is presented. All the multiple objective functions related to restoration problem for SPS are formulated as fuzzy sets. An analytic hierarchy process (AHP) is adopted to determine the weighted factors of each objective functions which is more convenient to be apprehended and operated by decision-maker, and a weighted product functional operator is used to form the integrated objective function. The multiobjective model is adopted by a simulated annealing genetic algorithm to solve the service restoration problem for SPS. The test results on a typical shipboard power system show effectiveness of the proposed restoration methodology.
Keywords :
decision making; genetic algorithms; power system restoration; ships; simulated annealing; analytic hierarchy process; decision-maker; fuzzy sets; multiobjective optimal service restoration; shipboard power system; simulated annealing genetic algorithm; weighted factors; weighted product functional operator; Genetic algorithms; Genetic engineering; Marine vehicles; Power engineering and energy; Power generation; Power system analysis computing; Power system modeling; Power system restoration; Power system simulation; Simulated annealing; analytic hierarchy process; genetic algorithm; service restoration; shipboard power system; simulated annealing algorithm;
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
DOI :
10.1109/ICICISYS.2009.5357675
