An Approximation of Static Voltage Stability Margin Using Artificial Neural Networks in Power Systems

Abstract

This paper presents an approximation of voltage stability margin or Loading Margin in generation direction space using Artificial Neural Networks for static voltage stability in power systems. Artificial Neural Network is used to approximate the loading margin at particular generation direction based on the known loading margins at various generation directions. The proposed method is validated and compared with the Maximum Loading Margin (MLM) method in the modified IEEE 14-bus test system. This helps system operators to approximate voltage stability margin or loading margin of the system in a short period of time.