Hierarchical nonlinear model predictive control of offshore hybrid power systems
Peer reviewed, Journal article
Published version
Permanent lenke
https://hdl.handle.net/11250/3023605Utgivelsesdato
2022Metadata
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Sammendrag
This paper presents an approach for controlling ofshore hybrid power systems consisting of gas turbines, offshore wind, and batteries for satisfying an exogenous power demand. A hierarchical controller is developed comprising a high-level economic nonlinear model predictive controller that distributes the power demand according to some economic objective, a low-level nonlinear tracking model predictive controller that actuates on the hybrid power system, and a nonlinear moving horizon estimator to estimate the system state. Simulation results and concluding remarks reveal the advantage of such a hierarchical approach for a simple simulation study. Hierarchical nonlinear model predictive control of offshore hybrid power systems