Title :
Distribution Transformer Losses Evaluation: A New Analytical Methodology and Artificial Neural Network Approach
Author :
Leal, Adriano Galindo ; Jardini, José Antonio ; Magrini, Luiz Carlos ; Ahn, Se Un
Author_Institution :
Elucid Solutions, Sao Paulo
fDate :
5/1/2009 12:00:00 AM
Abstract :
The aim of this paper is to propose an analytical methodology and discuss some alternatives of artificial neural network models in order to evaluate losses in distribution systems, particularly in distribution transformers. The procedure can also be extended to other components of the distribution system (secondary and primary network and HV/MV transformers). This is accomplished by using the utility´s database such as the consumers´ monthly energy consumption and the typical load curves of each class of consumption and type of activity developed.
Keywords :
losses; neural nets; power engineering computing; power transformers; artificial neural network approach; distribution transformer loss evaluation; Information systems; neural networks; power distribution; power transformer losses;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2008.2012178