The Application of Pareto Ant Colony Algorithm in Multi-Objective Power Network Planning

Author

Yang, Fu ; Ling-he, Meng ; Lan, Zhu ; Jia-lin, Cao

Author_Institution

Dept. of Electr. Eng., Shanghai Univ. of Electr. Power, Shanghai

Volume

1

fYear

2008

fDate

19-20 Dec. 2008

Firstpage

794

Lastpage

798

Abstract

The Pareto ant colony algorithm (PACA) for multi-objective power network planning is presented according to the current situation of resolve multi-objective power network planning by translate multi-objective problem to single-objective problem. The weights are determined randomly for each objective, make all the objective have the same status and avoid the difficulty of determine weights. It can greatly reduce the quantity of calculation by solve the multiple objective optimization problems directly. Get the Pareto-front, and then the relation of the objectives is present by a map. The correctness of the proposed method is verified by the example of the 18-bus system.

Keywords

Pareto optimisation; power system planning; 18-bus system; Pareto ant colony algorithm; multiobjective power network planning; multiple objective optimization problems; Algorithm design and analysis; Computational intelligence; Computer industry; Conferences; Cost function; Genetic algorithms; Optimization methods; Power generation economics; Power system planning; Power system security; Economic; Multi-Objective; Pareto Ant Colony Algorithm; Power network planning; Reliability;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3490-9

Type

conf

DOI

10.1109/PACIIA.2008.31

Filename

4756669