Using artificial neural networks to estimate rotor angles and speeds from phasor measurements

This paper deals with an improved use of phasor
measurements. In particular, the paper focuses on the
development of a technique for estimation of generator rotor
angle and speed, based on phasor measurement units, for
transient stability assessment and control in real-time. Two multilayered
feed-forward artificial neural networks are used for this
purpose. One for the estimation of rotor angle and another for the
estimation of rotor speed. The validation has been made by
simulation in a power system because techniques for the direct
measurement were not available. Results obtained with the help
of a simple one machine to infinite bus system are presented and
compared against those obtained using analytical formulas
derived from the generator classical model.