Application of neural adaptive power system stabilizer in a multi-machine power system

Application of a neural adaptive power system stabilizer (NAPSS) to a five- machine power system is described in, this paper. The proposed NAPSS compri ses two subnetworks, The adaptive neuro-identifier (ANI) to dynamically ide ntify the non-linear plant, and the adaptive neuro-controller (ANC) to damp output oscillations. The backpropagation training method is used on-line t o train these subnetworks. The effectiveness of the proposed NAPSS in dampi ng both local and inter-area modes of oscillations and its self-coordinatio n ability are demonstrated.