Abstract
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. © 2008 IEEE.
| Original language | English |
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| Title of host publication | IEEE International Conference on Fuzzy Systems |
| Pages | 231-237 |
| DOIs | |
| Publication status | Published - 2008 |
| Event | 2008 IEEE International Conference on Fuzzy Systems (FUZZ 2008) - Hong Kong, China Duration: 1 Jun 2008 → 6 Jun 2008 |
Publication series
| Name | |
|---|---|
| ISSN (Print) | 1098-7584 |
Conference
| Conference | 2008 IEEE International Conference on Fuzzy Systems (FUZZ 2008) |
|---|---|
| Place | China |
| City | Hong Kong |
| Period | 1/06/08 → 6/06/08 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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