Title :
Probabilistic diagnosis of power system nodal voltages with ART2
Author :
H. Mori;N. Kanda
Author_Institution :
Dept. of Electr. Eng., Meiji Univ., Kawasaki, Japan
fDate :
6/15/1905 12:00:00 AM
Abstract :
This paper proposes a new method for nodal voltage diagnosis in power systems using a self-organization artificial neural network. ART2 is utilized to classify power system conditions. A probability voltage security index is evaluated by the resulting classification. The proposed method is used for tracking the voltage profile continuously.
Keywords :
"Power systems","Voltage","Power system security","Power system stability","Artificial neural networks","Subspace constraints","Load flow","Pattern recognition","Nonlinear equations","Power system control"
Conference_Titel :
Neural Networks to Power Systems, 1993. ANNPS ´93., Proceedings of the Second International Forum on Applications of
Print_ISBN :
0-7803-1217-1
DOI :
10.1109/ANN.1993.264294
