The Edge-set Encoding in Evolutionary Algorithms for Power Distribution Network Planning Problem Part II: Multi-objective Optimization Planning

Author

Rivas-Dávalos, Francisco ; Irving, Malcolm R.

Author_Institution

Inst. Tecnologico de Morelia, Michoacan

Volume

2

fYear

2006

fDate

Sept. 2006

Firstpage

251

Lastpage

257

Abstract

For pt.1 see ibid., p.Z000240-5 (2006). In this paper, the edge-set encoding technique is tested on multi-objective power distribution network planning problems. The edge-set encoding technique and its genetic operators are described. A multi-objective evolutionary algorithm was developed, based on the strength Pareto evolutionary algorithm 2, in order to test this encoding technique on several case studies with a real power distribution system with two objective functions: economical cost and energy non-supplied. From the results, it can be said that the edge-set encoding technique is suitable to resolve the multi-objective optimization problem of power distribution system expansion planning

Keywords

Pareto optimisation; genetic algorithms; power distribution planning; set theory; economical cost; edge-set encoding technique; genetic operator; multiobjective optimization; power distribution network planning problem; strength Pareto evolutionary algorithm; Cost function; Encoding; Evolutionary computation; Genetics; Power distribution; Power generation economics; Power system economics; Power system planning; Power systems; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Robotics and Automotive Mechanics Conference, 2006

Conference_Location

Cuernavaca

Print_ISBN

0-7695-2569-5

Type

conf

DOI

10.1109/CERMA.2006.122

Filename

4019802