UPFC online PI controller design using particle swarm optimization algorithm and artificial neural networks

摘要

Sometimes power utilities in contingency conditions should work far away from their pre-designed conditions. Various control strategies have been reported recently to control UPFC in different operating conditions. PI regulators used for controlling UPFC suffer from the inadequacies of providing suitable control and transient stability enhancement over a wide range of system operating conditions. A new adaptive controller using particle swarm optimization (PSO) algorithm and artificial neural networks (ANN) is proposed to improve efficiency of UPFC’s PI controller in damping power system oscillations. The effectiveness of the proposed method is demonstrated through computer simulation using a multi-machine power system with a single UPFC.