Mid and Long-Term Voltage Stability Assessment using Neural Networks and Quasi-Steady-State Simulation

Abstract

This paper presents a methodology to estimate voltage stability margin using artificial neural networks (ANN). During the training process, a quasi-steady-state (QSS) simulator is used, so the slow dynamic devices, which are important in the voltage stability assessment, are adequately modelled. The results obtained for a test system have shown the potential benefits of the proposed methodology and the importance of considering slow dynamic aspects when the voltage stability margin is to be calculated.