A Continually Online Trained Artificial Neural Network Identifier for a Turbogenerator

Ganesh K. Venayagamoorthy, Missouri University of Science and Technology
Ronald G. Harley

This document has been relocated to http://scholarsmine.mst.edu/ele_comeng_facwork/1344

There were 6 downloads as of 28 Jun 2016.


The increasing complexity of modern power systems highlights the need for advanced modelling techniques for effective control of power systems. This paper presents results of simulation and practical studies carried out on identifying the dynamics of a single turbogenerator connected to an infinite bus through a short transmission line, using a continually online trained (COT) artificial neural network (ANN).