Supervisory hybrid model predictive control for voltage stability of power networks

Rudy R. Negenborn (1) , Giovanni Beccuti (2) , Turhan Demiray (3) , Sylvain Leirens (4) , Gilney Damm (5) , Bart de Schutter (6) , Manfred Morari (3)

1 DCSC TU Delft
2 ETH Zürich - Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich]
3 Automatic Control Laboratory [Zurich]
4 IETR - Institut d'Électronique et des Technologies du numéRique
5 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes
6 DCSC - Delft Center for Systems and Control [Delft]

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.

Domains: Automatic

Rudy R. Negenborn, Giovanni Beccuti, Turhan Demiray, Sylvain Leirens, Gilney Damm, et al.. Supervisory hybrid model predictive control for voltage stability of power networks. American Control Conference (ACC 2007), Jul 2007, New York, NY, United States. pp.5444--5449, ⟨10.1109/ACC.2007.4282264⟩. ⟨hal-00969339⟩