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