Your Search Results

Use this resource - and many more! - in your textbook!

AcademicPub holds over eight million pieces of educational content for you to mix-and-match your way.

Experience the freedom of customizing your course pack with AcademicPub!
Not an educator but still interested in using this content? No problem! Visit our provider's page to contact the publisher and get permission directly.

Supervisory hybrid model predictive control for voltage stability of power networks

By: Morari, M.; De Schutter, B.; Damm, G.; Leirens, S.; Demiray, T.; Beccuti, A.G.; Negenborn, R.R.;

2007 / IEEE / 1-4244-0988-8

Description

This item was taken from the IEEE Conference ' Supervisory hybrid model predictive control for voltage stability of power networks ' Emergency voltage control problems in electric power networks have stimulated the interest for the implementation of online optimal control techniques. Briefly 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.