Abstract

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

Meeting Name

International Conference on Simulation, 1998

Department(s)

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

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 1998 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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