Advanced Control for Clusters of SOFC/Gas Turbine Hybrid Systems

The use of model predictive control (MPC) in advanced power systems can be advantageous in controlling highly coupled variables and optimizing system operations. Solid oxide fuel cell/gas turbine (SOFC/GT) hybrids are an example where advanced control techniques can be effectively applied. For example, to manage load distribution among several identical generation units characterized by different temperature distributions due to different degradation paths of the fuel cell stacks. When implementing an MPC, a critical aspect is the trade-off between model accuracy and simplicity, the latter related to a fast computational time. In this work, a hybrid physical and numerical approach was used to reduce the number of states necessary to describe such complex target system. The reduced number of states in the model and the simple framework allow real-time performance and potential extension to a wide range of power plants for industrial application, at the expense of accuracy losses, discussed in the paper.

TEKNIK OCH TEKNOLOGIER Maskinteknik Energiteknik hsv//swe
ENGINEERING AND TECHNOLOGY Mechanical Engineering Energy Engineering hsv//eng
Economic and social effects; Fuel cells; Hybrid systems; Industrial plants; Model predictive control; Predictive control systems; Turbines
Advanced control; Computational time; Generation units; Load distributions; Number of state; Numerical approaches; Real time performance; System operation
Solid oxide fuel cells (SOFC)

Zaccaria, Valentina,1989-Mälardalens högskola,Framtidens energi(Swepub:mdh)vza01 (författare)
Traverso, A.University of Genoa, Genova, Italy (författare)
University of Genoa, Genova, ItalyFramtidens energi (creator_code:org_t)

Ingår i:Journal of engineering for gas turbines and power: American Society of Mechanical Engineers (ASME)140:50742-47951528-8919

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