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Fuzzy dynamic modeling and predictive load following control of a solid oxide fuel cell power system

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3 Author(s)
Tiejun Zhang ; Dept. of Manuf. Eng. & Eng. Manage., City Univ. of Hong Kong, Hong Kong ; Gang Feng ; Wenguo Xiang

Solid oxide fuel cell (SOFC) is widely accepted for clean and distributed power generation use, but critical operation problems often occur when stand-alone fuel cell is directly connected to the electricity grid or the DC electric user. In order to address these problems, in this paper a data-driven fuzzy identification method is applied to the dynamic modeling of an integrated SOFC and capacitor system. And the identified fuzzy SOFC model is employed to develop a novel constrained feedforward generalized predictive controller. Both the rapid power load following and safe SOFC operation requirements are taken into account in the design of the closed-loop control system. Simulations are also given to demonstrate the load following control performance of the proposed fuzzy predictive control strategy for the SOFC/Capacitor power system.

Published in:

Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on

Date of Conference:

1-6 June 2008