UM  > Faculty of Science and Technology
Affiliated with RCfalse
Status已發表Published
N-1 security-constrained coordinated scheduling of integrated electricity and natural gas system considering gas dynamics and wind power uncertainty
Chen, Dawei1; Wan, Can1; Song, Yonghua1,2; Liu, Hui3; Wang, Fei4
2021-05-01
Source PublicationIET Renewable Power Generation
ISSN1752-1416
Volume15Issue:7Pages:1408-1421
Abstract

This paper develops a novel N-1 security-constrained coordinated scheduling model of integrated electricity and natural gas system (IEGS) with consideration of gas dynamics and wind power uncertainty. Direct quantile regression method and Monte Carlo simulation are applied to model the uncertainty associated with wind power forecast in scenarios. Then, the bilinear functions of natural gas constraints are transformed to a set of linear constraints based on McCormick envelopes. To integrate gas dynamics with security analysis in IEGS, a linear dynamic gas flow model considering N-1 contingency of pipeline is established by means of big-M method and the fully implicit finite difference method. Finally, the proposed stochastic coordinated scheduling problem of IEGS is formulated as a mixed-integer linear programming model. Numerical experiments are implemented to verify the superior accuracy of the linear dynamic gas flow model and the effectiveness of the proposed stochastic scheduling model.

DOI10.1049/rpg2.12087
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:000630045800001
Scopus ID2-s2.0-85102561954
Fulltext Access
Citation statistics
Cited Times [WOS]:2   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFaculty of Science and Technology
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.School of Electrical Engineering, Guangxi University, Nanning, China
4.Department of Electrical Engineering, North China Electric Power University, Baoding, China
Recommended Citation
GB/T 7714
Chen, Dawei,Wan, Can,Song, Yonghua,et al. N-1 security-constrained coordinated scheduling of integrated electricity and natural gas system considering gas dynamics and wind power uncertainty[J]. IET Renewable Power Generation,2021,15(7):1408-1421.
APA Chen, Dawei,Wan, Can,Song, Yonghua,Liu, Hui,&Wang, Fei.(2021).N-1 security-constrained coordinated scheduling of integrated electricity and natural gas system considering gas dynamics and wind power uncertainty.IET Renewable Power Generation,15(7),1408-1421.
MLA Chen, Dawei,et al."N-1 security-constrained coordinated scheduling of integrated electricity and natural gas system considering gas dynamics and wind power uncertainty".IET Renewable Power Generation 15.7(2021):1408-1421.
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
[Chen, Dawei]'s Articles
[Wan, Can]'s Articles
[Song, Yonghua]'s Articles
Baidu academic
Similar articles in Baidu academic
[Chen, Dawei]'s Articles
[Wan, Can]'s Articles
[Song, Yonghua]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Chen, Dawei]'s Articles
[Wan, Can]'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.