This paper investigates a-it application of layered artificial neural netwo
rk for automatic generation control of the power system. Computer simulatio
ns on the interconnected power system with two areas that include reheater
effect and also the governor deadband effect show that the artificial neura
l network control scheme proposed is effective in damping out oscillations
resulted by load perturbations. Only one artificial neural network controll
er, which controls the inputs of each area in the power system together, is
considered. By comparing the obtained results with conventional controller
s, it is shown that the performance of artificial neural network controller
is better than conventional controllers. In this paper, back propagation-t
hrough-time algorithm is used as neural network learning rule.