A decentralized scheme for voltage instability monitoring with hybrid artificial neural networks

This paper addresses a method for voltage stability monitoring with hybrid artificial neural networks. A hybrid neural network is presented to estimate the index for voltage instability and capture the feature extraction of the power system transition. In this paper, a decentralized neural network scheme is proposed to handle a large scale power systems so that the curse of dimensionality is alleviated. The proposed method is demonstrated in a sample system.