An application of an evolution strategy in power distribution system planning

Author

Miguez, E. ; Diaz-Dorado, E. ; Cidras, J.

Author_Institution

Dept. de Enxeneria Electr., Vigo Univ., Spain

fYear

1998

fDate

4-9 May 1998

Firstpage

241

Lastpage

246

Abstract

The optimal location and sizing of power distribution substations and feeder layouts is a common problem in new expansion planning. This paper is an application of a type of evolutionary algorithm called an evolution strategy (ES), to obtain optimal locations and sizes for power distribution substations such that the demand is met at minimum cost. The cost function for minimization includes substation investments, medium-voltage network costs and power losses

Keywords

distribution networks; genetic algorithms; investment; power system CAD; power system planning; substations; cost function minimization; evolution strategy; evolutionary algorithm; expansion planning; feeder layout; medium-voltage network cost; minimum cost; optimal location; optimal sizing; power distribution substations; power distribution system planning; power loss; substation investment; Cost function; Evolution (biology); Genetic algorithms; Investments; Optimization methods; Power distribution; Power system planning; Strategic planning; Substations; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on

Conference_Location

Anchorage, AK

Print_ISBN

0-7803-4869-9

Type

conf

DOI

10.1109/ICEC.1998.699719

Filename

699719