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- Publisher Website: 10.1049/iet-gtd.2018.5887
- Scopus: eid_2-s2.0-85062772318
- WOS: WOS:000460759500012
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Article: Chance-constrained maintenance scheduling for interdependent power and natural gas grids considering wind power uncertainty
Title | Chance-constrained maintenance scheduling for interdependent power and natural gas grids considering wind power uncertainty |
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Authors | |
Issue Date | 2019 |
Publisher | The Institution of Engineering and Technology. The Journal's web site is located at http://www.ietdl.org/IP-GTD |
Citation | IET Generation, Transmission and Distribution, 2019, v. 13 n. 5, p. 686-694 How to Cite? |
Abstract | Considering the increased interactions between power grids and natural gas grids, this study presents a chance-constrained maintenance scheduling model for integrated gas-electric grids with wind energy integration. Given the uncertainties of wind power, the loss of wind power probability is modelled as a chance constraint, ensuring the high utilisation of wind power. To overcome the adversities caused by the non-linear and non-convex models of natural gas systems, a piecewise linear approximation method is employed to transform the non-linear models into a group of mixed integer linear models. A big-M formulation method is used to construct inequality constraints for lines/pipelines to be under maintenance. In addition, unit commitment is also coordinated to achieve the best maintenance strategies. The proposed chance-constrained stochastic programming model is converted into an equivalent deterministic programming model via a strong extended formulation for the sample average approximation by leveraging the star-inequalities. Several tests on a four-node natural gas system with a six-bus power system and a 20-node natural gas system with a modified IEEE 118-bus power system demonstrate the effectiveness of the proposed model. |
Persistent Identifier | http://hdl.handle.net/10722/274998 |
ISSN | 2023 Impact Factor: 2.0 2023 SCImago Journal Rankings: 0.787 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Wang, C | - |
dc.contributor.author | Wang, Z | - |
dc.contributor.author | Wang, J | - |
dc.contributor.author | Hou, Y | - |
dc.date.accessioned | 2019-09-10T02:33:20Z | - |
dc.date.available | 2019-09-10T02:33:20Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | IET Generation, Transmission and Distribution, 2019, v. 13 n. 5, p. 686-694 | - |
dc.identifier.issn | 1751-8687 | - |
dc.identifier.uri | http://hdl.handle.net/10722/274998 | - |
dc.description.abstract | Considering the increased interactions between power grids and natural gas grids, this study presents a chance-constrained maintenance scheduling model for integrated gas-electric grids with wind energy integration. Given the uncertainties of wind power, the loss of wind power probability is modelled as a chance constraint, ensuring the high utilisation of wind power. To overcome the adversities caused by the non-linear and non-convex models of natural gas systems, a piecewise linear approximation method is employed to transform the non-linear models into a group of mixed integer linear models. A big-M formulation method is used to construct inequality constraints for lines/pipelines to be under maintenance. In addition, unit commitment is also coordinated to achieve the best maintenance strategies. The proposed chance-constrained stochastic programming model is converted into an equivalent deterministic programming model via a strong extended formulation for the sample average approximation by leveraging the star-inequalities. Several tests on a four-node natural gas system with a six-bus power system and a 20-node natural gas system with a modified IEEE 118-bus power system demonstrate the effectiveness of the proposed model. | - |
dc.language | eng | - |
dc.publisher | The Institution of Engineering and Technology. The Journal's web site is located at http://www.ietdl.org/IP-GTD | - |
dc.relation.ispartof | IET Generation, Transmission and Distribution | - |
dc.rights | [Pre-print to be removed on publication] “This paper is a postprint of a paper submitted to and accepted for publication in [journal] and is subject to IET copyright. The copy of record is available at IET Digital Library [link using doi]” | - |
dc.title | Chance-constrained maintenance scheduling for interdependent power and natural gas grids considering wind power uncertainty | - |
dc.type | Article | - |
dc.identifier.email | Hou, Y: yhhou@hku.hk | - |
dc.identifier.authority | Hou, Y=rp00069 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1049/iet-gtd.2018.5887 | - |
dc.identifier.scopus | eid_2-s2.0-85062772318 | - |
dc.identifier.hkuros | 302652 | - |
dc.identifier.hkuros | 316715 | - |
dc.identifier.volume | 13 | - |
dc.identifier.issue | 5 | - |
dc.identifier.spage | 686 | - |
dc.identifier.epage | 694 | - |
dc.identifier.isi | WOS:000460759500012 | - |
dc.publisher.place | United Kingdom | - |
dc.identifier.issnl | 1751-8687 | - |