A joint application of a genetic algorithm plus the minimal spanning tree for optimizing electrical energy systems

Author

Montoya, Diana P. ; Ramirez, J.M.

Author_Institution

Centro de Investig. y Estudios Av. del IPN, CINVESTAV, Guadalajara, Mexico

fYear

2013

fDate

22-24 Sept. 2013

Firstpage

1

Lastpage

6

Abstract

This paper presents the application of a genetic algorithm (GA) in conjunction with a Minimal Spanning Tree (MST) algorithm, in order to allocate jointly capacitors and distributed generation to improve the operation of electrical energy systems. An appropriate selection of the fitness function provides a solution that is able to reduce power losses. Simulations on an IEEE benchmark demonstrate the feasibility of the proposed strategy.

Keywords

IEEE standards; distributed power generation; genetic algorithms; power capacitors; trees (mathematics); IEEE benchmark; capacitors; distributed generation; electrical energy system operation; electrical energy systems; fitness function; genetic algorithm; minimal spanning tree algorithm; power losses; Capacitors; Distributed power generation; Genetic algorithms; Linear programming; Resource management; Sociology; Statistics; Genetic algorithms; minimal spanning tree; optimal capacitor allocation; optimal distributed generation allocation; reconfiguration of distribution systems;

fLanguage

English

Publisher

ieee

Conference_Titel

North American Power Symposium (NAPS), 2013

Conference_Location

Manhattan, KS

Type

conf

DOI

10.1109/NAPS.2013.6666848

Filename

6666848