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- W2616943600 abstract "This thesis is mainly about coordination of distributed systems, with a special attention to multi-energy electric power generation ones. For purposes of optimality, as well as constraint enforcement, Model Predictive Control (MPC) is chosen as the underlying tool, while wind turbines, fuel cells, photovoltaic panels, and hydroelectric plants are mostly considered as power sources to be controlled and coordinated. In the first place, an application of MPC to a micro-grid system is proposed, illustrating how to ensure appropriate performance for each generator and support units. In this context, a special attention is paid to the maximum power production by a wind turbine, via an original observer-based control when no wind speed measurement is available. Then, the principles of distributed-coordinated control, when considering an MPC-based formulation, are considered for the context of larger scale systems. Here, a new approach for price-driven coordination with constraints is proposed for the management of local MPC controllers, each of them being associated to one power generation unit typically. In addition, the computation of invariant sets is used for the performance analysis of the closed- loop control system, for both centralized MPC and price-driven coordination schemes. Finally, a couple of case studies in the field of power generation systems is included, illustrating the relevance of the proposed coordination control strategy." @default.
- W2616943600 created "2017-06-05" @default.
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- W2616943600 date "2014-11-28" @default.
- W2616943600 modified "2023-09-27" @default.
- W2616943600 title "Contribution to MPC coordination of distributed and power generation systems" @default.
- W2616943600 hasPublicationYear "2014" @default.
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