Note: This content is accessible to all versions of every browser. However, this browser does not seem to support current Web standards, preventing the display of our site's design details.

  

Comparative Assessment of Prediction Models in Voltage Control

Author(s):

A.G. Beccuti, T. Demiray, M. Zima, G. Andersson, M. Morari
Conference/Journal:

IEEE Powertech, Power System Technology, Lausanne, Switzerland
Abstract:

Emergency voltage control problems in electric power networks have stimulated the interest for the implementation of online optimal control techniques. In this sense there have been a number of publications in the past few years concerning the employment of predictive control schemes to counteract the possibility of voltage collapses, all of which inherently rely on a prediction model of the network to choose the control action to apply onto the system. The tradeoff between complexity and accuracy of the chosen model is therefore relevant in the derivation of the control scheme, as for such a system-critical real-time application it must yield reliable predicted values whilst avoiding an excessively onerous degree of complexity.

Year:

2007
Type of Publication:

(01)Article
Supervisor:



File Download:

Request a copy of this publication.
(Uses JavaScript)
% Autogenerated BibTeX entry
@InProceedings { BecEtal:2007:IFA_2913,
    author={A.G. Beccuti and T. Demiray and M. Zima and G. Andersson and M. Morari},
    title={{Comparative Assessment of Prediction Models in Voltage
	  Control}},
    booktitle={IEEE Powertech, Power System Technology},
    pages={},
    year={2007},
    address={Lausanne, Switzerland},
    month=jul,
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=2913}
}
Permanent link