Neurocontroller of synchronous generator excitation system

Abstract EN

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

The proposed controller will be inserted in the feed forward path of the conventional Automatic Voltage Regulator (AVR) control loop of a generator.

The Identifier is used to identify the complex nonlinear dynamics of the power system.

Results are presented to show that the neurocontroller can control the voltage of the generator under steady-state as well as transient conditions, thus, allowing the generators to operate more closely to their steady-tate stability limits.