A fuzzy logic decision-making approach for industrial power system planning

Author

Haddad, J. ; Lambert-Torres, G. ; Costa, C.I.A. ; Jannuzzi, G.M.

Author_Institution

Dept. de Eletrotecnica, Escola Federal de Engenharia de Itajuba, Brazil

Volume

4

fYear

1995

fDate

22-25 Oct 1995

Firstpage

3244

Abstract

The long-term studies for the expansion of the generation system seek to make the distribution of primary energetic resources mandatory involving different growth scenes of the electric power market, technological development and generation costs. This paper presents a methodology for decision-making in studies involving energy saving by using the fuzzy inference processes. Some criteria and technical-economical parameters used in the planning of the generation expansion are shown with an illustrative example

Keywords

decision theory; fuzzy logic; industrial power systems; power system planning; energy saving; fuzzy inference processes; fuzzy logic decision-making approach; generation costs; generation system expansion; industrial power system planning; technological development; Character generation; Costs; Decision making; Economic forecasting; Fuzzy logic; Industrial power systems; Layout; Power generation; Power generation economics; Power system planning;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-2559-1

Type

conf

DOI

10.1109/ICSMC.1995.538284

Filename

538284