Steady-state contingency classification using the rough set theory

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2003

Autores

C. I. Faustino Agreira (Autor) Outra; C. M. Machado Ferreira (Autor) Outra; J. A. Dias Pinto (Autor) Outra; Fernando Maciel Barbosa (Autor) FEUP

Ata de Conferência Internacional

Título: Proceedings of the Universities Power Engineering Conference

Páginas: 370-373

UPEC 2003, 38th International Universities' Power Engineering Conference

Thessaloniki, 1 September 2003 through 3 September 2003

Indexação

Scopus - 5 Citações

Classificação Científica

CORDIS: Ciências Tecnológicas

Outras Informações

ID Authenticus: P-007-CGS

Abstract (EN): In this paper it is proposed an efficient steady-state contingency classification using the Rough Set Theory. This approach allows the evaluation of the importance of particular attributes and the elimination of redundant attributes from the decision domain. Moreover, the construction of a minimal subset of independent attributes ensuring the same quality of classification as the original set. The elimination of redundant attributes can help in identification of strong non-redundant classification rules. The developed methodology produces a classification of the system operation in four possible states. The methodology developed by the authors was applied to a test power network and the results obtained were analysed. Finally, some conclusions that provide a valuable contribution to the understanding of the power system security analysis are pointed out.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4