This paper presents the design of two separate continually online trained (GOT) artificial neural network (ANN) controllers for excitation and turbine control of a turbogenerator connected to the infinite bus through a transmission line. These neurocontrollers augment/replace the conventional automatic voltage regulator and the turbine governor of a generator. A third COT ANN is used to identify the complex nonlinear dynamics of the power system. Results are presented to show that the two COT ANN controllers can control turbogenerators under steady state as well as transient conditions and thus allow turbogenerators to operate more closely to their steady state stability limits.

Meeting Name

2000 IEEE Industry Applications Conference, 2000


Electrical and Computer Engineering

Keywords and Phrases

Artificial Neural Network Controllers; Automatic Voltage Regulator; Continually Online Trained Neurocontrollers; Excitation; Learning (Artificial Intelligence); Machine Control; Neurocontrollers; Nonlinear Dynamical Systems; Steady State; Transient Conditions; Transmission Line; Turbine Control; Turbines; Turbogenerator; Turbogenerators

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type





© 2000 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Full Text Link