Multiple-Model Adaptive Control of a Hybrid Solid Oxide Fuel Cell Gas Turbine Power Plant Simulator-Reference-Cited by-同舟云学术

Multiple-Model Adaptive Control of a Hybrid Solid Oxide Fuel Cell Gas Turbine Power Plant Simulator

Published:2019-02-19 Issue:3 Volume:16 Page:
ISSN:2381-6872
Container-title:Journal of Electrochemical Energy Conversion and Storage
language:en
Short-container-title:

Author:

Tsai Alex¹,Pezzini Paolo²,Tucker David³,Bryden Kenneth M.²

Affiliation:

1. United States Coast Guard Academy, New London, CT 06320

2. Ames Laboratory, Iowa State University, Ames, IA 50011

3. U.S. Department of Energy, National Energy Technology Laboratory, Morgantown, WV 26505

Abstract

A multiple model adaptive control (MMAC) methodology is used to control the critical parameters of a solid oxide fuel cell gas turbine (SOFC-GT) cyberphysical simulator, capable of characterizing 300 kW hybrid plants. The SOFC system is composed of a hardware balance of plant (BoP) component, and a high fidelity FC model implemented in software. This study utilizes empirically derived transfer functions (TFs) of the BoP facility to derive the MMAC gains for the BoP system, based on an estimation algorithm which identifies current operating points. The MMAC technique is useful for systems having a wide operating envelope with nonlinear dynamics. The practical implementation of the adaptive methodology is presented through simulation in the matlab/simulink environment.

Publisher

ASME International

Subject

Mechanical Engineering,Mechanics of Materials,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electronic, Optical and Magnetic Materials

Link

http://asmedigitalcollection.asme.org/electrochemical/article-pdf/doi/10.1115/1.4042381/6133857/jeecs_016_03_031003.pdf

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