Self organizing feature map and radial basis function based voltage stability state classification of power system

摘要

This paper presents an application of self-organizing feature map (SOFM) in conjunction with radial basis function (RBF) for determining voltage stability states of a power network. These voltage stability states are compared with a voltage stability index (L VS1) calculated using information obtained from dynamic simulation. Simulations were carried out on IEEE57 bus test system considering load changes and contingencies. The data collected from simulations are then used as inputs to the SOFM which acts as a classifier to determine the voltage stability states of the system under test. To augment the effectiveness of the proposed method, the initial classification results were improved with the application of RBF technique. Studies show that the SOFM-RBF combination delivers high classification accuracy in the order of almost 100%, and can be considered an effective soft-computing tool to ease the operation of large-multi bus power network under variable operating conditions.