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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
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.
Emergency Voltage Control
Electric Power Networks
Online Optimal Control Techniques
Power System Restoration
Hybrid Power Systems
Supervisory Hybrid Model Predictive Control
Discrete Time Steps
Power System Stability
Discrete Time Systems
Discrete Event Systems