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.
G. K. Venayagamoorthy and R. G. Harley, "Two Separate Continually Online Trained Neurocontrollers for Excitation and Turbine Control of a Turbogenerator," Conference Record of the 2000 IEEE Industry Applications Conference, 2000, Institute of Electrical and Electronics Engineers (IEEE), Jan 2000.
The definitive version is available at http://dx.doi.org/10.1109/IAS.2000.882046
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
Article - Conference proceedings
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