DocumentCode :
2484021
Title :
A Preference-Based Non-dominated Sorting Genetic Algorithm on dynamic economic dispatch
Author :
Shang, Xiuqin ; Lu, Jiangang ; Sun, Youxian
Author_Institution :
State Key Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
2794
Lastpage :
2797
Abstract :
A preference-based non-dominated sorting genetic algorithm (PNSGA) is introduced to optimize multi-objective problems. PNSGA adopts the technique of the decision maker, which can combine Pareto dominance with partial preference information. And the preferable relationship is defined based on Pareto dominance and goal function. The algorithm is utilized to optimize a novel multi-objective model of the dynamic economic dispatch in power system. Experimental results demonstrate the good validity of the proposed algorithm.
Keywords :
Pareto optimisation; genetic algorithms; load dispatching; Pareto dominance; decision maker; dynamic economic dispatch; multiobjective problems; partial preference information; power system; preference-based non-dominated sorting genetic algorithm; Constraint optimization; Evolutionary computation; Genetic algorithms; Mathematical model; Power generation economics; Power system dynamics; Power system economics; Power system modeling; Research and development; Sorting; dynamic economic dispatchs; preference-based;
fLanguage :
English
Publisher :
ieee
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
Type :
conf
DOI :
10.1109/WCICA.2008.4593368
Filename :
4593368
Link To Document :
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