Static Voltage Stability Indication in a Power System Using ANN
The paper presents an approach for indication of static voltage stability conditions of a power system using Artificial Neural Network (ANN) as a correlator to correlate voltage stability index and bus loading index and corresponding bus voltage. The approach uses voltage stability indices and bus loading indices along with bus voltages for different loading conditions to train a multi-layer ANN using back propagation technique. The trained ANN is then used to determine the static voltage stability condition of the power system for a new system loading condition. The applicability of the proposed approach has been investigated for IEEE 30 bus system using different loading conditions generated through simulations.