ABSTRACT
Accurate and precise estimation of voltage instability has been a great concern of power engineers over the last few decades. The inevitable effects of instability can only be avoided by fast and exact prediction and corresponding preventive action. Classical methods of voltage stability determination have been analyzed to be accurate but not prompt enough for real-time instability computation and prevention. The objective of this chapter is to develop an artificial neural network-based model to predict the voltage instability in real time. The developed model is cost-effective, accurate, sensitive and faster responding with the alteration of the active and reactive power demand.
