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research-article

ADVANCED CONTROL FOR CLUSTERS OF SOFC/GT HYBRID SYSTEMS

[+] Author and Article Information
Iacopo Rossi

University of Genoa, Department of Mechanical Engineering, Via Montallegro, 1, 16145 Genova, Italy
iacopo.rossi@edu.unige.it

Valentina Zaccaria

National Energy Technology Laboratory (NETL), U.S. Department of Energy, 3610 Collins Ferry Road, 26507 Morgantown, WV (USA)
valentina.zaccaria@netl.doe.gov

Alberto Traverso

University of Genoa, Department of Mechanical Engineering, Via Montallegro, 1, 16145 Genova, Italy
alberto.traverso@unige.it

1Corresponding author.

ASME doi:10.1115/1.4038321 History: Received July 10, 2017; Revised August 29, 2017

Abstract

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 a 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.

Copyright (c) 2017 by ASME
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