TY - GEN
T1 - Artificial neural network based losses model due to energy exchange
AU - Ortega, J. M.
AU - Maia, Helder Z.
AU - Filho, Faete J.T.
AU - Pinto, J. O.P.
AU - Muller, L.
PY - 2009/12/9
Y1 - 2009/12/9
N2 - Due to the characteristic of the Interconnected Brazilian National System and to the location of Mato Grosso do Sul state, the connection between the South and Southern power systems has become a fragile link, making this state susceptible to significant changes, as far as losses and damages are concerned, when submitted to different levels of energy exchanges between those regions. The determination of these losses permits the reevaluation of the costs, which are normally transferred to the consumer. This work presents a model that allows the determination of the so called, technical losses related only to the energy internally used by the Mato Grosso do Sul State, and the one related to the energy exchange between South and Southern regions. The work presents the methodology of the elaboration of database and the neural network modeling. The results show that the model does match with the actual physical system.
AB - Due to the characteristic of the Interconnected Brazilian National System and to the location of Mato Grosso do Sul state, the connection between the South and Southern power systems has become a fragile link, making this state susceptible to significant changes, as far as losses and damages are concerned, when submitted to different levels of energy exchanges between those regions. The determination of these losses permits the reevaluation of the costs, which are normally transferred to the consumer. This work presents a model that allows the determination of the so called, technical losses related only to the energy internally used by the Mato Grosso do Sul State, and the one related to the energy exchange between South and Southern regions. The work presents the methodology of the elaboration of database and the neural network modeling. The results show that the model does match with the actual physical system.
KW - Artificial neural networks
KW - Principal component analysis
KW - Technical losses
UR - http://www.scopus.com/inward/record.url?scp=76549120020&partnerID=8YFLogxK
U2 - 10.1109/ISAP.2009.5352916
DO - 10.1109/ISAP.2009.5352916
M3 - Conference contribution
AN - SCOPUS:76549120020
SN - 9781424450985
T3 - 2009 15th International Conference on Intelligent System Applications to Power Systems, ISAP '09
BT - 2009 15th International Conference on Intelligent System Applications to Power Systems, ISAP '09
T2 - 2009 15th International Conference on Intelligent System Applications to Power Systems, ISAP '09
Y2 - 8 November 2009 through 12 November 2009
ER -