Proton Exchange Membrane Fuel Cell in DC Microgrids with a New Adaptive Model Predictive Control

Yulin Liu, Yuxuan Wang, Tat Kei Chau, Xinan Zhang, Herbert Iu, Tyrone Fernando, Tianhao Qie, Yingjie Hu

Research output: Chapter in Book/Conference paperConference paperpeer-review

1 Citation (Scopus)

Abstract

A new adaptive model predictive control (AMPC) is proposed in this paper to enhance the performance of proton exchange membrane fuel cell (PEMFC) in DC microgrids. 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 system parameter variations are verified by simulation results.

Original languageEnglish
Title of host publicationProceedings of 2021 31st Australasian Universities Power Engineering Conference, AUPEC 2021
EditorsSumedha Rajakaruna, Ahmed Abu Siada, Ho Ching Iu, Arindam Ghosh, Tyrone Fernando
Place of PublicationUSA
PublisherIEEE, Institute of Electrical and Electronics Engineers
ISBN (Electronic)9781665434515
DOIs
Publication statusPublished - 2021
Event31st Australasian Universities Power Engineering Conference, AUPEC 2021 - Virtual, Online, Australia
Duration: 26 Sept 202130 Sept 2021

Publication series

NameProceedings of 2021 31st Australasian Universities Power Engineering Conference, AUPEC 2021

Conference

Conference31st Australasian Universities Power Engineering Conference, AUPEC 2021
Country/TerritoryAustralia
CityVirtual, Online
Period26/09/2130/09/21

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