A two-phase decision support approach for the selection of load control actions

Author

Antunes, Carlos Henggeler ; Gomes, Álvaro ; Martins, António Gomes

Author_Institution

Dept. of Electr. Eng. & Comput., Coimbra Univ., Coimbra

fYear

2008

fDate

28-30 June 2008

Firstpage

1

Lastpage

6

Abstract

A two-phase approach to provide decision support in the design and selection of load control actions in electricity networks is described. The first phase consists in the use of a multiple objective genetic algorithm, coupled with physically-based load models, for the design and selection of a set of potential non-dominated solutions (load control actions). The second phase performs the selection of the control action, to be implemented over groups of electrical loads, based on the analysis of indifference regions associated to each alternative in a parametric diagram.

Keywords

decision support systems; genetic algorithms; load regulation; power distribution control; power transmission control; electrical load control; electricity networks; multiple objective genetic algorithm; parametric diagram; two-phase decision support approach; Algorithm design and analysis; Energy management; Genetic algorithms; Load flow control; Load management; Load modeling; Performance analysis; Power demand; Uncertainty; Water heating; Decision support; genetic algorithms; load control; multiple criteria analysis; parametric diagram;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering Management Conference, 2008. IEMC Europe 2008. IEEE International

Conference_Location

Estoril

Print_ISBN

978-1-4244-2288-3

Electronic_ISBN

978-1-4244-2289-0

Type

conf

DOI

10.1109/IEMCE.2008.4617942

Filename

4617942