Neural network based excitation control of synchronous generator

Abstract EN

This paper presents the design of Artificial Neural Network ANN (Identifier and controller).

It replaces the conventional Automatic Voltage Regulator (AVR) of a generator.

fhe identifier is used to identify the complex nonlinear dynamics of the power system.

Result are presented to show that the neurocontroller can control the voltage 0ا' generator under steady-state as well as transient condition, thus, allow the generator to operate more closely to their steady- state stability limits.