Steady-state contingency classification using the rough set theory

• Type: Article in International Conference Proceedings Book
• Date: 2003

Authors

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

Conference proceedings International

Title: Proceedings of the Universities Power Engineering Conference

Pages: 370-373

UPEC 2003, 38th International Universities' Power Engineering Conference

Thessaloniki, 1 September 2003 through 3 September 2003

Indexing

Scopus - 5 Citations

Scientific classification

CORDIS: Technological sciences

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4