Title :
Distribution System Losses Evaluation by ANN Approach
Author :
Leal, A.G. ; Jardini, J.A. ; Magrini, L.C. ; Ahn, S.U. ; Schmidt, H.P. ; Casolari, R.P.
Author_Institution :
Electr. Power & Autom. Eng. Dept., Sao Paulo Univ.
fDate :
Oct. 29 2006-Nov. 1 2006
Abstract :
The aim of this paper is to propose a methodology based on the artificial neural network technique in order to evaluate losses in distribution systems. The losses are calculated for each segment involved in the distribution system (secondary and primary network, distribution transformers, HV/MV transformers). This is done by using the network´s data, the consumer´s monthly energy consumption data and the typical load curves by class of consumer and type of activity developed. The results of a case study related to an existing distribution system and the main advantages of the proposed methodology, are also presented
Keywords :
distribution networks; energy consumption; losses; neural nets; power engineering computing; power transformers; ANN; HV-MV transformers; artificial neural network technique; distribution networks; distribution system losses evaluation; distribution transformers; energy consumption; load curves; power transformer losses; Aggregates; Artificial neural networks; Automation; Electrical equipment industry; Energy consumption; Low voltage; Neural networks; Power distribution; Power transformers; Probability;
Conference_Titel :
Power Systems Conference and Exposition, 2006. PSCE '06. 2006 IEEE PES
Conference_Location :
Atlanta, GA
Print_ISBN :
1-4244-0177-1
Electronic_ISBN :
1-4244-0178-X
DOI :
10.1109/PSCE.2006.296161
