LAPSE:2019.1613
Published Article
LAPSE:2019.1613
A Dispatching Optimization Model for Park Power Supply Systems Considering Power-to-Gas and Peak Regulation Compensation
December 16, 2019
To ensure the stability of park power supply systems and to promote the consumption of wind/photovoltaic generation, this paper proposes a dispatching optimization model for the park power supply system with power-to-gas (P2G) and peak regulation via gas-fired generators. Firstly, the structure of a park power system with P2G was built. Secondly, a dispatching optimization model for the park power supply system was constructed with a peak regulation compensation mechanism. Finally, the effectiveness of the model was verified by a case study. The case results show that with the integration of P2G and the marketized peak regulation compensation mechanism, preferential power energy storage followed by gas storage had the best effect on the park power supply system, which minimized the clean energy curtailment to 11.18% and the total cost by approximately $120.190 and maximized the net profit by approximately $152.005.
Record ID
Keywords
ancillary service, park power supply system, peak regulation compensation, power-to-gas, wind/photovoltaic generation consumption
Subject
Suggested Citation
Qin Y, Lin H, Tan Z, Yan Q, Li L, Yang S, De G, Ju L. A Dispatching Optimization Model for Park Power Supply Systems Considering Power-to-Gas and Peak Regulation Compensation. (2019). LAPSE:2019.1613
Author Affiliations
Qin Y: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Lin H: School of Economics and Management, North China Electric Power University, Beijing 102206, China; Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China
Tan Z: School of Economics and Management, North China Electric Power University, Beijing 102206, China; Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China
Yan Q: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Li L: State Grid Jibei Electric Power Economic Research Institute, Beijing 100000, China
Yang S: School of Economics and Management, North China Electric Power University, Beijing 102206, China; Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China
De G: School of Economics and Management, North China Electric Power University, Beijing 102206, China; Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China
Ju L: School of Economics and Management, North China Electric Power University, Beijing 102206, China; Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China
Lin H: School of Economics and Management, North China Electric Power University, Beijing 102206, China; Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China
Tan Z: School of Economics and Management, North China Electric Power University, Beijing 102206, China; Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China
Yan Q: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Li L: State Grid Jibei Electric Power Economic Research Institute, Beijing 100000, China
Yang S: School of Economics and Management, North China Electric Power University, Beijing 102206, China; Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China
De G: School of Economics and Management, North China Electric Power University, Beijing 102206, China; Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China
Ju L: School of Economics and Management, North China Electric Power University, Beijing 102206, China; Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China
Journal Name
Processes
Volume
7
Issue
11
Article Number
E813
Year
2019
Publication Date
2019-11-04
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr7110813, Publication Type: Journal Article
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LAPSE:2019.1613
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External Link
doi:10.3390/pr7110813
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[v1] (Original Submission)
Dec 16, 2019
Verified by curator on
Dec 16, 2019
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v1
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https://psecommunity.org/LAPSE:2019.1613
Original Submitter
Calvin Tsay
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