Title :
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
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;
Conference_Titel :
Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4859-1
DOI :
10.1109/IJCNN.1998.682240
