Development and implementation of neural network observers to estimate synchronous generators' dynamic parameters using on-line operating data
This paper illustrates a new application of artificial neural network (ANN) observers in identifying and estimating synchronous generator dynamic parameters via time-domain, on-line disturbance measurements. To prepare the training database for an ANN observer, the transient behaviours of synchronou...
Saved in:
Main Authors: | Shariati, Omid, Abdullah, Mohd. Zin, Azhar, Khairuddin, Aghamohammadi, Mohammad Reza |
---|---|
Format: | Article |
Published: |
2012
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/46803/ http://dx.doi.org/10.1007/s00202-012-0274-2 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application of neural network observer for on-line estimation of salient-pole synchronous generators' dynamic parameters using the operating data
by: Shariati, O., et al.
Published: (2011) -
Numerical estimation of inter line power flow controller based on injection model of synchronous voltage sources
by: Shahriari, Amidaddin, et al.
Published: (2013) -
Identification of synchronous machine parameters
by: Abdul Majid, Nor'aini
Published: (1989) -
Application of Artificial Neural Network (ANN) for frequency response in power system dynamics
by: Mohd. Jelani, Azliza, et al.
Published: (2014) -
An integrated method for under frequency load shedding based on hybrid intelligent system-part i: dynamic simulation
by: Shariati, Omid, et al.
Published: (2012)