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This content will become publicly available on April 11, 2019

Title: Multicoordination Control Strategy Performance in Hybrid Power Systems

This paper evaluates a state-space methodology of a multi-input multi-output (MIMO) control strategy using a 2 × 2 tightly coupled scenario applied to a physical gas turbine fuel cell hybrid power system. A centralized MIMO controller was preferred compared to a decentralized control approach because previous simulation studies showed that the coupling effect identified during the simultaneous control of the turbine speed and cathode airflow was better minimized. The MIMO controller was developed using a state-space dynamic model of the system that was derived using first-order transfer functions empirically obtained through experimental tests. The controller performance was evaluated in terms of disturbance rejection through perturbations in the gas turbine operation, and setpoint tracking maneuver through turbine speed and cathode airflow steps. The experimental results illustrate that a multicoordination control strategy was able to mitigate the coupling of each actuator to each output during the simultaneous control of the system, and improved the overall system performance during transient conditions. On the other hand, the controller showed different performance during validation in simulation environment compared to validation in the physical facility, which will require a better dynamic modeling of the system for the implementation of future multivariable control strategies.
 [1] ;  [1] ;  [2]
  1. Ames Lab., Ames, IA (United States). Simulation Modeling and Decision Science Program
  2. National Energy Technology Lab. (NETL), Morgantown, WV (United States)
Publication Date:
Report Number(s):
Journal ID: ISSN 2381-6872
Grant/Contract Number:
Accepted Manuscript
Journal Name:
Journal of Fuel Cell Science and Technology (Online)
Additional Journal Information:
Journal Name: Journal of Fuel Cell Science and Technology (Online); Journal Volume: 15; Journal Issue: 3; Journal ID: ISSN 2381-6872
Research Org:
Ames Laboratory (AMES), Ames, IA (United States)
Sponsoring Org:
USDOE Office of Fossil Energy (FE)
Country of Publication:
United States
30 DIRECT ENERGY CONVERSION; 24 POWER TRANSMISSION AND DISTRIBUTION; 42 ENGINEERING; multi-input multi-output control strategy; MIMO; state-space; centralized 23 control; hybrid power system; fuel cell; gas turbine; fuel cell gas turbine hybrid
OSTI Identifier: