Natural optimization applied to medium-term hydrothermal coordination

Author

Ferreira, V.H. ; Silva, G.H.C.

Author_Institution

Dept. of Electr. Eng., Fluminense Fed. Univ., Niteroi, Brazil

fYear

2011

fDate

25-28 Sept. 2011

Firstpage

1

Lastpage

6

Abstract

This paper deals with the application of genetic algorithms and simulated annealing in order to solve the hydrothermal coordination problem through the optimal operation planning of large and nonlinear complex systems. Aiming to explore different solutions for this kind of problem, this paper suggests a comparison between the results of genetic algorithms and simulated annealing. The proposed techniques are applied in two hydrothermal test systems that are part of the Brazilian electric system, one composed by seven and other composed by fourteen hydro plants. The results show the effectiveness of the proposed techniques.

Keywords

genetic algorithms; hydrothermal power systems; large-scale systems; nonlinear systems; power generation planning; simulated annealing; Brazilian electric system; genetic algorithm; hydroplant; hydrothermal test system; large complex system; medium-term hydrothermal coordination problem; nonlinear complex system; optimal operation planning; optimization application; simulated annealing; Turbines; Natural optimization; genetic algorithm (GA); hydrothermal coordination; simulated annealing (SA);

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent System Application to Power Systems (ISAP), 2011 16th International Conference on

Conference_Location

Hersonissos

Print_ISBN

978-1-4577-0807-7

Electronic_ISBN

978-1-4577-0808-4

Type

conf

DOI

10.1109/ISAP.2011.6082235

Filename

6082235