@inproceedings{a67af291e6db4c1c9cf05b42ab81aaf0,
title = "A Novel Adaptive Model Predictive Control Strategy of Solid Oxide Fuel Cell in Power Systems",
abstract = "A new adaptive model predictive control (AMPC) is proposed in this paper to enhance the performance of solid oxide fuel cell (SOFC) in complex power systems. Compared to the existing methods, such as the PI control and conventional model predictive control, the proposed algorithm produces better tracking performances and overcomes the problem of model dependence. The effectiveness of the proposed algorithm under power grid fault and system parameter variations are verified by simulation results.",
keywords = "Adaptive Model Predictive Control, Parameter Estimation, Power System, Solid Oxide Fuel Cell",
author = "Yulin Liu and Chau, {Tat Kei} and Xinan Zhang and Herbert Iu and Tyrone Fernando and Ran Li and Yingjie Hu",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 31st Australasian Universities Power Engineering Conference, AUPEC 2021 ; Conference date: 26-09-2021 Through 30-09-2021",
year = "2021",
doi = "10.1109/AUPEC52110.2021.9597737",
language = "English",
series = "Proceedings of 2021 31st Australasian Universities Power Engineering Conference, AUPEC 2021",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
editor = "Sumedha Rajakaruna and Siada, {Ahmed Abu} and Iu, {Ho Ching} and Arindam Ghosh and Tyrone Fernando",
booktitle = "Proceedings of 2021 31st Australasian Universities Power Engineering Conference, AUPEC 2021",
address = "United States",
}