Stability Improvement of Power Networks using Cluster based Dynamic Excitation of AVR

Abstract

The dynamic stability of power systems consisting of multiple machines is affected by the excitation of each machine, the system configuration and the loading conditions. In this paper, a method that could improve the dynamic stability of power networks in the presence of internal and external disturbances is presented. Automatic voltage regulator (AVR) based clustering and dynamic excitation of machines is proposed. Distributed perturbations are used to evaluate the stability of an experimental New England 10-machine, 39-bus test system. From the results, it was seen that the proposed clustering-based excitation algorithm could uniquely improve the stability conditions of the perturbed New effectively power system by around 10%, which could not be achieved using other methods.