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This Thesis represents the first step of a larger work in the context of the Eu-ropean project " 7th Framework STREP project Hierarchical and Distributed Model Predictive Control (HD-MPC) " , which involves the study and the development of innovative methods for distributed control of large-scale systems [17]. In particular, in this work the realistic(More)
This paper studies the optimal control of a domestic micro combined heat and power system. The objective function is to reduce the gas and electricity bill of the consumer. The problem is nonlinear and contains continuous and logical variables. Two solutions are compared in this paper: Dynamic Programming and Mixed Integer Linear Programming.
This paper discusses a decompositioncoordination control approach for large-scale systems, based on distributed MPC controllers and a specific coordination, with an application to the control of a so-called Hydro-Power Valley. The coordination strategy here explored can be characterized as an explicit interaction-prediction method, in the sense that the(More)
The problem of controlling a variable-speed-variable-pitch wind turbine in non conventional operating points is addressed. We aim to provide a control architecture for a general active power tracking problem for the entire operating envelope. The presented control enables to cope with system non linearities while handling state and input constraints, and(More)
This paper deals with dynamic optimization of hybrid differential algebraic systems (Hybrid DAE) with explicit transitions, by means of direct collocation. Modes are described by binary variables that are treated as continuous variables during the dynamic optimization, then a specific rounding procedure coupled with an adaptive mesh refinement is applied in(More)
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