Design neural damper vibration to the improve the stability of electric power systems

The research of a new methodology for the Vibration damper Depends on his work
on neural networks, in order to reduce the damping of electrical system and find out the
effectiveness of damper proposed in the stability of the system, so by comparing it with
traditionally Power system stabilizer, it depends on Neural network Process the signal of
rotation speed of the generator to control of the irritation synchronous machine, the
designed damper showed ability to reduce amplitude vibrations arising from failures and
thus reduce the time of damping by providing additional effort to signal entered to the
agitation system.
Characterized the proposed technical possibility of further improving the dynamic
stability and thus the stability of the electrical system