Voltage stability assessment plays a key role in operations of power systems. Neural network based assessment techniques are gaining a lot of attention in this area. In this work, we presents the effects of training parameters on assessment of voltage stability index based on the real field data .The stress on the bus is analyzed on the basis of real and reactive power, and the changes in the index based on contingencies in the system is presented. The work is focused on radial distribution power systems and is based on Kerala grid, India.
SALIM, LEELA; FRANCIS, ANISH; and Joseph, Tibin
"TRAINING EFFECTS ON NEURAL NETWORK METHODS FOR VOLTAGE STABILITY INDEX COMPUTATION,"
International Journal of Electronics and Electical Engineering: Vol. 3
, Article 14.
Available at: https://www.interscience.in/ijeee/vol3/iss2/14