A Hybrid Algorithm for Solving the Economic Dispatch Problem

Author

Barros, Raul Silva ; Cortes, Omar A. C. ; Lopes, Rafael Fernandes ; da Silva, J.C.

Author_Institution

Maranhao Inf. Dept., Inst. Fed. de Educ., Cienc. e Tecnol., Monte Castelo, Brazil

fYear

2013

fDate

8-11 Sept. 2013

Firstpage

617

Lastpage

621

Abstract

The purpose of this work is to apply a hybrid algorithm based on Particle Swarm Optimization (PSO) and Genetic Algorithms (GA) for solving the problem of Economic Dispatch, which is based on supplying an energy demand, subjected to some restriction and reach out the best possible cost. Basically, we use the mutation operator from GAs aiming to explore regions in the search space that cannot be reached out by the canonical version of PSO. The new algorithm shows good results when applied to solve the cases based on 3, 13 and 20 generators, respectively. Our results are compared against the canonical PSO and other ones available in the literature.

Keywords

genetic algorithms; load dispatching; particle swarm optimisation; PSO canonical version; economic dispatch problem; energy demand; genetic algorithms; hybrid algorithm; mutation operator; particle swarm optimization; search space; Economics; Generators; Genetic algorithms; Optimization; Particle swarm optimization; Power generation; Vectors; PSO; economic dispatch; genetic algorithms; hybrid algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and 11th Brazilian Congress on Computational Intelligence (BRICS-CCI & CBIC), 2013 BRICS Congress on

Conference_Location

Ipojuca

Type

conf

DOI

10.1109/BRICS-CCI-CBIC.2013.108

Filename

6855917