Reference:
R.R. Negenborn,
A.G. Beccuti,
T. Demiray,
S. Leirens,
G. Damm,
B. De Schutter, and
M. Morari,
"Supervisory hybrid model predictive control for voltage stability of
power networks," Proceedings of the 2007 American Control
Conference, New York, New York, pp. 5444-5449, July 2007.
Abstract:
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.
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