Residential Collegefalse
Status已發表Published
Maximum Production Point Tracking of a High-Temperature Power-to-Gas System: A Dynamic-Model-Based Study
Xing,Xuetao1; Lin,Jin1; Song,Yonghua2,3; Hu,Qiang4
2019-01-07
Source PublicationIEEE Transactions on Sustainable Energy
ISSN1949-3029
Volume11Issue:1Pages:361-370
Abstract

Power-to-gas (P2G) can be employed to balance renewable generation because of its feasibility to operate at fluctuating loading power. The fluctuating operation of low-temperature P2G loads can be achieved by controlling the electrolysis current alone. However, this method does not apply to high-temperature P2G (HT-P2G) technology with auxiliary parameters, such as temperature and feed rates: Such parameters need simultaneous coordination with current due to their great impact on conversion efficiency. To improve the system performance of HT-P2G while tracking the dynamic power input, this paper proposes a maximum production point tracking (MPPT) strategy and coordinates the current, temperature, and feed rates together. In addition, a comprehensive dynamic model of an HT-P2G plant is established to test the performance of the proposed MPPT strategy, which is absent in previous studies that focused on steady states. The case study suggests that the MPPT operation responds to the external load command rapidly even though the internal transition and stabilization cost a few minutes. Moreover, the conversion efficiency and available loading capacity are both improved, which is definitely beneficial in the long run.

KeywordHigh-temperature Power-to-gas Maximum Production Point Tracking Dynamic Loading Power
DOI10.1109/TSTE.2019.2891296
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaScience & Technology - Other Topics ; Energy & Fuels ; Engineering
WOS SubjectGreen & Sustainable Science & Technology ; Energy & Fuels ; Engineering, Electrical & Electronic
WOS IDWOS:000505608300034
Scopus ID2-s2.0-85077315313
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionDEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Corresponding AuthorLin,Jin
Affiliation1.State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment,Department of Electrical Engineering,Tsinghua University,Beijing,100084,China
2.Department of Electrical and Computer Engineering,University of Macau,999078,Macao
3.Department of Electrical Engineering,Tsinghua University,Beijing,100084,China
4.Tsinghua-Sichuan Energy Internet Research Institute,Chengdu,610213,China
Recommended Citation
GB/T 7714
Xing,Xuetao,Lin,Jin,Song,Yonghua,et al. Maximum Production Point Tracking of a High-Temperature Power-to-Gas System: A Dynamic-Model-Based Study[J]. IEEE Transactions on Sustainable Energy, 2019, 11(1), 361-370.
APA Xing,Xuetao., Lin,Jin., Song,Yonghua., & Hu,Qiang (2019). Maximum Production Point Tracking of a High-Temperature Power-to-Gas System: A Dynamic-Model-Based Study. IEEE Transactions on Sustainable Energy, 11(1), 361-370.
MLA Xing,Xuetao,et al."Maximum Production Point Tracking of a High-Temperature Power-to-Gas System: A Dynamic-Model-Based Study".IEEE Transactions on Sustainable Energy 11.1(2019):361-370.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Xing,Xuetao]'s Articles
[Lin,Jin]'s Articles
[Song,Yonghua]'s Articles
Baidu academic
Similar articles in Baidu academic
[Xing,Xuetao]'s Articles
[Lin,Jin]'s Articles
[Song,Yonghua]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Xing,Xuetao]'s Articles
[Lin,Jin]'s Articles
[Song,Yonghua]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.