On-Line Transient Stabilily Assessment Using Artificial Neural Networks

Abstract

In this paper an Artificial Neural Networks methodology is proposed for the On-Line Transient Stability Assessment of longitudinal electric power systems. The objective of the system designed is to help power system operators in control centers in decisions involving generation changes and/or activation of discrete supplementary controls to improve power system stability. Main steps followed to develop the artificial neural networks are presented and test results using the Northeast Area of the Mexican Interconnected System are reported.