This paper presents the design of two separate continually online trained (COT) neurocontrollers 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 artificial neural network is used to identify the complex nonlinear dynamics of the power system. Results are presented to show that the two COT neurocontrollers 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," IEEE Transactions on Industry Applications, Institute of Electrical and Electronics Engineers (IEEE), Jan 2002.
The definitive version is available at https://doi.org/10.1109/TIA.2002.1003445
Electrical and Computer Engineering
Keywords and Phrases
Automatic Voltage Regulator; Continually Online-Trained Neurocontrollers; Excitation Control; Infinite Bus; Learning (Artificial Intelligence); Machine Control; Neurocontrollers; Nonlinear Dynamics; Single-Machine Infinite Bus System; Steady-State Conditions; Steady-State Stability Limits; Transient Conditions; Transmission Line; Turbine Control; Turbine Governor; Turbines; Turbogenerators
International Standard Serial Number (ISSN)
Article - Journal
© 2002 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.