Non-convex Economic Dispatch using Trelea Particle Swarm Optimization

Author

Oliveira, Ezequiel S. ; Silva, Ivo C. ; de Oliveira, Leonardo W. ; Dias, Bruno H. ; Oliveira, Edimar J.

Author_Institution

Dept. of Electr. Eng., Fed. Univ. of Juiz de Fora (UFJF), Juiz de Fora, Brazil

fYear

2015

fDate

June 29 2015-July 2 2015

Firstpage

1

Lastpage

6

Abstract

Based in the importance of the Economic Dispatch for operation and planning of power systems, this paper presents the Trelea Particle Swarm Optimization method (Trelea-PSO) applied to this issue. In this paper the ED problem is modeled considering the valve-point effects and multiple fuels, though a non-convex function. Study cases composed of two 10 thermal generators systems are presented to validate the proposed methodology. The results obtained was compared to others presented in literature.

Keywords

concave programming; load dispatching; particle swarm optimisation; power system economics; power system planning; ED problem; Trelea particle swarm optimization; Trelea-PSO; nonconvex economic dispatch; power system operation; power system planning; thermal generators system; valve-point effect; Convergence; Cost function; Fuels; Generators; Particle swarm optimization; Sociology; Statistics; Economic Dispatch; Trelea-PSO; multiple fuels; valve-point effects;

fLanguage

English

Publisher

ieee

Conference_Titel

PowerTech, 2015 IEEE Eindhoven

Conference_Location

Eindhoven

Type

conf

DOI

10.1109/PTC.2015.7232818

Filename

7232818