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Mathematical Problems in Engineering
Volume 2014, Article ID 397567, 14 pages
Research Article

Hierarchical MPC Secondary Control for Electric Power System

1Department of Electrical Engineering, University of Chile, Avenue Tupper 2007, 8370451 Santiago, Chile
2Advanced Mining Technology Center (AMTC), University of Chile, Avenue Beauchef 850, 8370451 Santiago, Chile

Received 13 December 2013; Revised 3 March 2014; Accepted 3 March 2014; Published 17 April 2014

Academic Editor: Hamid Reza Karimi

Copyright © 2014 Freddy Milla et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Although in electric power systems (EPS) the regulatory level guarantees a bounded error between the reference and the corresponding system variables, to keep its availability in time, optimizing the system operation is required for operational reasons such as, economic and/or environmental. In order to do this, there are the following alternative solutions: first, replacing the regulatory system with an optimized control system or simply adding an optimized supervisory level, without modifying the regulatory level. However, due to the high cost associated with the modification of regulatory controllers, the industrial sector accepts more easily the second alternative. In addition, a hierarchical supervisory control system improves the regulatory level through a new optimal signal support, without any direct intervention in the already installed regulatory control system. This work presents a secondary frequency control scheme in an electric power system, through a hierarchical model predictive control (MPC). The regulatory level, corresponding to traditional primary and secondary control, will be maintained. An optimal additive signal is included, which is generated from a MPC algorithm, in order to optimize the behavior of the traditional secondary control system.