Residential College | false |
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![]() ![]() | |
2019-01-07 | |
Source Publication | IEEE Transactions on Sustainable Energy
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ISSN | 1949-3029 |
Volume | 11Issue: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. |
Keyword | High-temperature Power-to-gas Maximum Production Point Tracking Dynamic Loading Power |
DOI | 10.1109/TSTE.2019.2891296 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Science & Technology - Other Topics ; Energy & Fuels ; Engineering |
WOS Subject | Green & Sustainable Science & Technology ; Energy & Fuels ; Engineering, Electrical & Electronic |
WOS ID | WOS:000505608300034 |
Scopus ID | 2-s2.0-85077315313 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING |
Corresponding Author | Lin,Jin |
Affiliation | 1.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. |
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