A neuro-fuzzy approach to the planning of electric distribution networks

Author

Fracassi, G.L. ; Mascioli, F. M Frattale ; Lamedica, R. ; Martinelli, G. ; Prudenzi, A. ; Regoli, M. ; Rizzi, A.

Author_Institution

Electr. Res. Center, ENEL SpA CRE, Italy

Volume

1

fYear

1998

fDate

4-8 May 1998

Firstpage

79

Abstract

Proposes a method using a neuro-fuzzy based model for identification of “off-standard” configurations of large electric distribution network components. The method provides an automatic procedure for off-line processing of historical loading data that are made available by an existing monitoring and control system of the grid. The method is based on a version of Simpson´s (1993) min-max paradigm, optimized with respect to clustering performance measured by a suitable compactness-separability index

Keywords

distribution networks; fuzzy neural nets; identification; pattern recognition; power system planning; statistical analysis; clustering performance; compactness-separability index; electric distribution networks; historical loading data; identification; min-max paradigm; neuro-fuzzy approach; off-standard configurations; Automatic control; Clustering algorithms; Computational efficiency; Computerized monitoring; Control systems; Optimization methods; Partitioning algorithms; Performance evaluation; Robustness; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on

Conference_Location

Anchorage, AK

ISSN

1098-7576

Print_ISBN

0-7803-4859-1

Type

conf

DOI

10.1109/IJCNN.1998.682240

Filename

682240