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

Trabajo presentado al 3rd IFAC International Conference on Intelligent Control and Automation Science (2013).
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.
Research supported by the European 7th Framework Net-work of Excellence Highly complex and networked control systems (HYCON2), the European COST Action TU1102 and COLCIENCIAS through Fondo Nacional de Financiamiento Para la Ciencia la Tecnología y la Innovación, Francisco Jose de Caldas, project Modelamiento y control de tráfico urbano en la ciudad de Medellín contract number 0941-2012. The work of C. Ocampo-Martinez has been supported by Secretaria d’Universitats i Recerca i del Departament d’Economia i Coneixement - Generalitat de Catalunya and the the EU Project EFFINET (FP7-ICT-2011-8-31855)