Abstract

Assessing the dynamic stability of electrical power system in real time is the difficult problem. This paper proposes a parallel neural network structure (PNN) to improve level of accuracy in fast assessing the stability of the real electrical power system by using criteria of energy function in steps before training and executing reasoning. The applications of this method with advantages and disadvantages will also be mentioned in this paper.