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.


Supervisory hybrid model predictive control for voltage stability of power networks


Rudy R. Negenborn, A.G. Beccuti, T. Demiray, S. Leirens, Gilney Damm, Bart De Schutter, M. Morari

American Control Conference, New York City, USA

Emergency voltage control problems in electric power networks have stimulated the interest for the implementation of online optimal control techniques. Briey stated, voltage instability stems from the attempt of load dynamics to restore power consumption beyond the capability of the transmission and generation system. Typically, this situation occurs after the outage of one or more components in the network, such that the system cannot satisfy the load demand with the given inputs at a physically sustainable voltage profile. For a particular network, a supervisory control strategy based on model predictive control is proposed, which provides at discrete time steps inputs and set-points to lower-layer primary controllers based on the predicted behavior of a model featuring hybrid dynamics of the loads and the generation system.


Type of Publication:


File Download:

Request a copy of this publication.
(Uses JavaScript)
% Autogenerated BibTeX entry
@InProceedings { NegEtal:2007:IFA_2912,
    author={Rudy R. Negenborn and A.G. Beccuti and T. Demiray and S. Leirens and Gilney Damm and Bart De Schutter and M. Morari},
    title={{Supervisory hybrid model predictive control for voltage
	  stability of power networks}},
    booktitle={American Control Conference},
    address={New York City, USA},
Permanent link