Title :
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
fDate :
June 29 2015-July 2 2015
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;
Conference_Titel :
PowerTech, 2015 IEEE Eindhoven
Conference_Location :
Eindhoven
DOI :
10.1109/PTC.2015.7232818
