This paper reports on the simulation studies carried out using MATLAB/SIMULINK and the practical implementation of a continuously online trained (COT) artificial neural network (ANN) controller to identify the continuous changing complex nonlinear dynamics of the power system, and another COT ANN to control a micro-turbogenerator which consists of a turbine simulator and a micro-alternator connected to an infinite bus through a short transmission line in a laboratory environment. This neural network controller augments/replaces the traditional automatic voltage regulator (AVR) and the turbine governor of the generator. Simulation and practical results are presented to show that this COT ANN identifier/controller has the potential to allow turbogenerators to operate more closely to their steady state stability limits
G. K. Venayagamoorthy and R. G. Harley, "Simulation Studies with a Continuously Online Trained Artificial Neural Network Controller for a Micro-Turbogenerator," Proceedings of the International Conference on Simulation, 1998, Institute of Electrical and Electronics Engineers (IEEE), Jan 1998.
The definitive version is available at https://doi.org/10.1049/cp:19980671
International Conference on Simulation, 1998
Electrical and Computer Engineering
Keywords and Phrases
MATLAB; SIMULINK; Artificial Neural Network Controller; Automatic Voltage Regulator; Complex Nonlinear Dynamics; Continuously Online Trained Network; Infinite Bus; Micro-Alternator; Micro-Turbogenerator; Neurocontrollers; Power System; Simulation; Steady State Stability Limits; Transmission Line; Turbine Governor; Turbine Simulator
Article - Conference proceedings
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