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Improved Controller Performance of Selected Hybrid SOFC-GT Plant Signals Based on Practical Control Schemes

[+] Author Affiliations
Alex Tsai, David Tucker

US DOE National Energy Technology Laboratory, Morgantown, WV

Craig Groves

Georgia Institute of Technology, Atlanta, GA

Paper No. GT2010-22470, pp. 609-620; 12 pages
doi:10.1115/GT2010-22470
From:
  • ASME Turbo Expo 2010: Power for Land, Sea, and Air
  • Volume 3: Controls, Diagnostics and Instrumentation; Cycle Innovations; Marine
  • Glasgow, UK, June 14–18, 2010
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 978-0-7918-4398-7 | eISBN: 978-0-7918-3872-3
  • Copyright © 2010 by ASME

abstract

This paper compares and demonstrates the efficacy of implementing two practical Single Input Single Output (SISO) multi-loop control schemes on the dynamic performance of selected signals of a Solid Oxide Fuel Cell Gas Turbine (SOFC-GT) hybrid simulation facility. The hybrid plant, located at the U.S. Department of Energy National Energy Technology Laboratory (NETL) in Morgantown WV, is capable of simulating the interaction between a 350kW SOFC and a 120kW GT using a Hardware-in-the-Loop (HIL) configuration. Previous studies have shown that the thermal management of coal based SOFC-GT hybrid systems is accomplished by the careful control of the cathode air stream within the fuel cell (FC). A decoupled centralized and dynamic de-centralized control scheme is tested for one critical airflow bypass loop to regulate cathode FC airflow and modulation of turbine electric load to maintain synchronous turbine speed during system transients. Improvements to the studied multivariate architectures include: feed-forward (FF) control for disturbance rejection, anti-windup (AW) compensation for actuator saturation, gain scheduling for adaptive operation, bumpless transfer (BT) for manual to auto switching, and adequate filter design for the inclusion of derivative action. Controller gain tuning is accomplished by Skogestad’s Internal Model Control (SIMC) tuning rules derived from empirical First Order Plus Delay Time (FOPDT) Transfer Function {TF} models of the hybrid facility. Avoidance of strong Input-Output (IO) coupling interactions is achieved via Relative Gain Array (RGA), Niederlinski Index (NI), and Decomposed Relative Interaction Analysis (DRIA), following recent methodologies in PID control theory for multivariable processes.

Copyright © 2010 by ASME

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