Artificial Neural Network-Based Contingency Ranking Using Line Voltage Stability Index
摘要
The assessment of voltage stability for a particular system state comprises two considerations. The first is closeness to voltage instability, which may be assessed using physical parameters such as load level, active power flow across a crucial interface, and reactive power reserve. The best measure for each particular scenario is determined by the unique system and intended use of margin. In order to evaluate the stability limit, voltage stability indices are established. This paper describes a straightforward approach for determining voltage stability using the line voltage stability index (LVSI). The site for installing TCSC was predicted using artificial neural networks (ANN).