Neural network control for damping of multi-mode oscillations in a power system

A neural network-based control scheme, in conjunction with a coherency recognition technique, is proposed for enhancing the damping characteristics of multi-machine power systems. From the simulation results obtained, it is shown that the proposed control scheme is suitable for damping multi-mode oscillations in a 10-machine power system and performs better than a conventional control scheme.