Hybrid model for transient stability evaluation of interconnected longitudinal power systems using neural network/pattern recognition approach

Abstract

A methodology for evaluation of transient stability of medium size interconnected longitudinal power systems has been developed using a hybrid neural network/ pattern recognition approach. Assessment of transient stability is done using a fast pattern recognition algorithm at each load level, accurately predicted by a neural network on a half-hourly basis. As opposed to the conventional approaches, this hybrid strategy can make fast decisions with less computations.