Publication

A multiobjective-based switching topology for hierarchical model predictive control applied to a hydro-power valley

Conference Article

Conference

IFAC International Conference on Intelligent Control and Automation Science (ICONS)

Edition

3rd

Pages

529-534

Doc link

http://dx.doi.org/10.3182/20130902-3-CN-3020.00042

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Download the digital copy of the doc pdf document

Authors

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Abstract

In a Hierarchical Model Predictive Control (H-MPC) framework, this paper explores suitable time-variant structures for the hierarchies of different local MPC controllers. The idea is to adapt to different operational conditions by changing the importance of the local controllers. This is done by defining the level of the hierarchy they belong to, and solving within each level the local MPC problem using the information provided by the higher levels at the current time step and the predicted information from the lower levels obtained in the previous time step. As selecting a hierarchy results in a combinatorial optimization problem, it is explicitly solved for a limited number of relevant topologies only and then the switching between topologies is defined with a multiobjective optimizer, so as to decide the best H-MPC scheme according to the expected performance. A comparison with fixed-topology H-MPC controllers is done, showing the effectiveness of the proposed approach for the power control of a hydro-power valley.

Categories

automation, control theory, optimisation, predictive control.

Author keywords

hierarchical model predictive control, switching topologies, supervisory control, multiobjective optimization, hydro-power valley

Scientific reference

A. Nunez, C. Ocampo-Martínez, B. De Schutter, F. Valencia, J.D. López and J. Espinosa. A multiobjective-based switching topology for hierarchical model predictive control applied to a hydro-power valley, 3rd IFAC International Conference on Intelligent Control and Automation Science, 2013, Chengdu, China, pp. 529-534.