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Non-Isothermal Optimal Power and Gas Flow
Chen, Dawei1; Wan, Can1; Song, Yonghua2,4; Guo, Chuangxin1; Shahidehpour, Mohammad3
2021-11-01
Source PublicationIEEE Transactions on Power Systems
ISSN0885-8950
Volume36Issue:6Pages:5453-5464
Abstract

Isothermal natural gas flow model with constant gas temperature has been widely used in conventional coordinated operations of integrated electricity and natural gas systems (IEGS). However, as a crucial state variable in IEGS, gas temperature varies significantly among nodes in a natural gas system, which can be calculated along with nodal pressures and mass flow rates. This paper proposes a novel non-isothermal optimal power and gas flow (OPGF) model that avoids the isothermal assumptions involved in traditional natural gas network model and improves the accuracy significantly. In the proposed model, partial differential terms with minimal weights are neglected based on the quantitative analysis of the energy conservation equation to further simplify the energy conservation equation. A non-isothermal model of natural gas networks is developed by introducing the finite difference method and laws of thermodynamics to incorporate the gas temperature change into the coordinated operation of IEGS. A start point initialization scheme is developed based on the Newton-Raphson algorithm to accelerate the interior point method solution convergence and improve its solution quality. Numerical experiments presented for two test systems validate the effectiveness of the proposed OPGF model and solution methodology.

KeywordGas Temperature Change Integrated Electricity And Natural Gas System Interior Point Method Non-isothermal Gas Flow Optimal Power And Gas Flow
DOI10.1109/TPWRS.2021.3084941
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000709092000050
Scopus ID2-s2.0-85107327794
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorWan, Can
Affiliation1.College of Electrical Engineering, Zhejiang University, Hangzhou, China
2.State Key Laboratory of Internet of Things for Smart City, University of Macau, Taipa, Macao
3.Robert W. Galvin Center for Electricity Innovation, Illinois Institute of Technology, Chicago, United States
4.College of Electrical Engineering, Zhejiang University, Hangzhou, 310027, China
Recommended Citation
GB/T 7714
Chen, Dawei,Wan, Can,Song, Yonghua,et al. Non-Isothermal Optimal Power and Gas Flow[J]. IEEE Transactions on Power Systems,2021,36(6):5453-5464.
APA Chen, Dawei,Wan, Can,Song, Yonghua,Guo, Chuangxin,&Shahidehpour, Mohammad.(2021).Non-Isothermal Optimal Power and Gas Flow.IEEE Transactions on Power Systems,36(6),5453-5464.
MLA Chen, Dawei,et al."Non-Isothermal Optimal Power and Gas Flow".IEEE Transactions on Power Systems 36.6(2021):5453-5464.
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