Data-Driven Joint Distributionally Robust Chance-Constrained Operation for Multiple Integrated Electricity and Heating Systems

Integrating heating and electricity networks offers extra flexibility to the energy system operation while improving energy utilization efficiency. This paper proposes a data-driven joint distributionally robust chance-constrained (DRCC) operation model for multiple integrated electricity and heatin...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on sustainable energy Jg. 15; H. 3; S. 1782 - 1798
Hauptverfasser: Zhai, Junyi, Jiang, Yuning, Zhou, Ming, Shi, Yuanming, Chen, Wei, Jones, Colin N.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 01.07.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Alternating minimization algorithm
Cogeneration
Constraints
data-driven
Decision making
distributed optimization
Electricity
Electricity supply industry
Energy utilization
Gas industry
Heating systems
integrated electricity and heating systems (IEHSs)
Integrated energy systems
joint distributionally robust chance-constrained
optimized CVaR approximation (OCA)
Pipelines
Power system modeling
Renewable energy
Renewable energy sources
Robustness
Tightness
Uncertainty
ISSN:1949-3029, 1949-3037
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Abstract Integrating heating and electricity networks offers extra flexibility to the energy system operation while improving energy utilization efficiency. This paper proposes a data-driven joint distributionally robust chance-constrained (DRCC) operation model for multiple integrated electricity and heating systems (IEHSs). Flexible reserve resources in IEHS are exploited to mitigate the uncertainty of renewable energy. A distributed and parallel joint DRCC operation framework is developed to preserve the decision-making independence of multiple IEHSs, where the optimized CVaR approximation (OCA) approach is developed to transform the local joint DRCC model into a tractable model. An alternating minimization algorithm is presented to improve the tightness of OCA for joint chance constraints by iteratively tuning the OCA. Case studies on the IEEE 33-bus system with four IEHSs and the IEEE 141-bus system with eight IEHSs demonstrate the effectiveness of the proposed approach.
AbstractList Integrating heating and electricity networks offers extra flexibility to the energy system operation while improving energy utilization efficiency. This paper proposes a data-driven joint distributionally robust chance-constrained (DRCC) operation model for multiple integrated electricity and heating systems (IEHSs). Flexible reserve resources in IEHS are exploited to mitigate the uncertainty of renewable energy. A distributed and parallel joint DRCC operation framework is developed to preserve the decision-making independence of multiple IEHSs, where the optimized CVaR approximation (OCA) approach is developed to transform the local joint DRCC model into a tractable model. An alternating minimization algorithm is presented to improve the tightness of OCA for joint chance constraints by iteratively tuning the OCA. Case studies on the IEEE 33-bus system with four IEHSs and the IEEE 141-bus system with eight IEHSs demonstrate the effectiveness of the proposed approach.
Author Chen, Wei
Zhou, Ming
Zhai, Junyi
Jiang, Yuning
Jones, Colin N.
Shi, Yuanming
Author_xml – sequence: 1
  givenname: Junyi
  orcidid: 0000-0003-4765-1540
  surname: Zhai
  fullname: Zhai, Junyi
  email: zhaijunyi@upc.edu.cn
  organization: College of New Energy, China University of Petroleum (East China), Shandong, China
– sequence: 2
  givenname: Yuning
  orcidid: 0000-0002-7145-0995
  surname: Jiang
  fullname: Jiang, Yuning
  email: yuning.jiang@ieee.org
  organization: Automatic Control Laboratory, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
– sequence: 3
  givenname: Ming
  orcidid: 0000-0002-9226-0496
  surname: Zhou
  fullname: Zhou, Ming
  email: zhouming@ncepu.edu.cn
  organization: State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China
– sequence: 4
  givenname: Yuanming
  orcidid: 0000-0002-1418-7465
  surname: Shi
  fullname: Shi, Yuanming
  email: shiym@shanghaitech.edu.cn
  organization: School of Information Science and Technology, ShanghaiTech University, Shanghai, China
– sequence: 5
  givenname: Wei
  orcidid: 0000-0002-9066-1448
  surname: Chen
  fullname: Chen, Wei
  email: wchen@tsinghua.edu.cn
  organization: Department of Electronic Engineering and Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China
– sequence: 6
  givenname: Colin N.
  orcidid: 0000-0001-7239-4799
  surname: Jones
  fullname: Jones, Colin N.
  email: colin.jones@epfl.ch
  organization: Automatic Control Laboratory, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
BookMark eNp9kMFL7DAQxoMo6FP_AMFDwHPXpGk3zfGxu7qKIuh6LtN06ovUZF-SCnvxbzd1RcSDc5mB-X3DfN8fsmudRUJOOJtwztT56mG1mOQsLyZCSMWn-Q454KpQmWBC7n7NudonxyE8s1RCiKlgB-RtDhGyuTevaOm1MzbSuQnRm2aIxlno-w29d80QIp39A6sxmzmb9mAstvRujR5GjnbO09uhj2bdI72yEZ_SIhGLHnW6pk3cULAtXWLi7RN92ISIL-GI7HXQBzz-7Ifk8WKxmi2zm7vLq9nfm0znqoiZwkpLzbFsQSMrSq7KrsoVaCmKZqrzVutmKgtgDQhQkisoUcpWdtBpDsnrITnb3l1793_AEOtnN_hkL9SCSSYrnosqUXJLae9C8NjV6e8Pf6PhvuasHvOux7zrMe_6M--k5D-Ua29ewG9-1ZxuNQYRv_GFLMuKiXcYY5CB
CODEN ITSEAJ
CitedBy_id crossref_primary_10_1016_j_segan_2024_101479
crossref_primary_10_1016_j_segan_2025_101821
crossref_primary_10_3390_electronics14040822
crossref_primary_10_1016_j_apenergy_2024_124194
crossref_primary_10_1016_j_energy_2025_134570
crossref_primary_10_1186_s42162_025_00503_x
crossref_primary_10_1007_s10726_024_09909_6
crossref_primary_10_1109_TSG_2025_3579244
crossref_primary_10_1007_s00202_024_02876_w
Cites_doi 10.1016/j.orl.2021.01.012
10.1109/TSG.2022.3230016
10.1109/TSTE.2023.3237229
10.1109/TPWRS.2022.3197556
10.1109/JIOT.2023.3252630
10.1287/opre.2022.2330
10.1016/j.ejor.2018.06.036
10.1109/tste.2023.3306529
10.1016/j.ejor.2021.04.015
10.1109/TII.2021.3083653
10.1109/LCSYS.2018.2836870
10.1109/TPWRS.2023.3242468
10.1109/TSG.2022.3197435
10.1007/s10107-011-0494-7
10.1038/s41467-020-19854-y
10.1016/j.apenergy.2017.09.112
10.1109/TPWRS.2020.3034488
10.1109/TPWRS.2020.3024673
10.1109/TPWRS.2018.2878385
10.1137/050622328
10.1109/TSG.2022.3210232
10.1007/s10898-020-00966-0
10.1561/2200000016
10.2172/1244822
10.1109/TSTE.2019.2927135
10.1016/j.epsr.2007.10.002
10.1109/TPWRS.2020.2978934
10.1109/TSG.2022.3150412
10.1017/CBO9780511804441
10.1109/TSTE.2023.3312119
10.1109/TPWRS.2019.2950987
10.1016/j.apenergy.2022.119939
10.1109/TII.2020.2971227
10.1109/TII.2023.3275712
10.1109/JSYST.2021.3135295
10.1109/TPWRS.2021.3115521
10.1038/s41467-023-40670-7
10.1109/TPWRS.2010.2051168
10.17775/CSEEJPES.2021.09470
10.1109/TSG.2022.3210014
10.1016/j.energy.2018.01.049
10.1007/s10915-018-0757-z
10.1007/s10107-017-1172-1
ContentType Journal Article
Copyright Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024
Copyright_xml – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024
DBID 97E
RIA
RIE
AAYXX
CITATION
7SP
7ST
7TB
8FD
C1K
FR3
H8D
KR7
L7M
SOI
DOI 10.1109/TSTE.2024.3379162
DatabaseName IEEE All-Society Periodicals Package (ASPP) 2005–Present
IEEE All-Society Periodicals Package (ASPP) 1998–Present
IEEE/IET Electronic Library
CrossRef
Electronics & Communications Abstracts
Environment Abstracts
Mechanical & Transportation Engineering Abstracts
Technology Research Database
Environmental Sciences and Pollution Management
Engineering Research Database
Aerospace Database
Civil Engineering Abstracts
Advanced Technologies Database with Aerospace
Environment Abstracts
DatabaseTitle CrossRef
Aerospace Database
Civil Engineering Abstracts
Technology Research Database
Mechanical & Transportation Engineering Abstracts
Electronics & Communications Abstracts
Engineering Research Database
Environment Abstracts
Advanced Technologies Database with Aerospace
Environmental Sciences and Pollution Management
DatabaseTitleList
Aerospace Database
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE/IET Electronic Library
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 1949-3037
EndPage 1798
ExternalDocumentID 10_1109_TSTE_2024_3379162
10475580
Genre orig-research
GrantInformation_xml – fundername: NCCR Automation Project
  grantid: 51NF40_180545
– fundername: Natural Science Foundation of Shandong Province
  grantid: ZR2023QE006
  funderid: 10.13039/501100007129
– fundername: National Natural Science Foundation of China
  grantid: 52241702
  funderid: 10.13039/501100001809
– fundername: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Swiss National Science Foundation
  funderid: 10.13039/501100001711
GroupedDBID 0R~
4.4
5VS
6IK
97E
AAJGR
AARMG
AASAJ
AAWTH
ABAZT
ABQJQ
ABVLG
ACIWK
AENEX
AFRAH
AGQYO
AGSQL
AHBIQ
AKJIK
AKQYR
ALMA_UNASSIGNED_HOLDINGS
ATWAV
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
EBS
EJD
HZ~
IFIPE
IPLJI
JAVBF
M43
O9-
OCL
P2P
RIA
RIE
RNS
AAYXX
CITATION
7SP
7ST
7TB
8FD
C1K
FR3
H8D
KR7
L7M
SOI
ID FETCH-LOGICAL-c294t-9e8c7c1e5dace045195f829ac734b6c2dccb674a0ba3a9719a5e77d7fafc1a333
IEDL.DBID RIE
ISICitedReferencesCount 12
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001252808200007&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 1949-3029
IngestDate Mon Jun 30 08:21:47 EDT 2025
Tue Nov 18 21:45:01 EST 2025
Sat Nov 29 03:13:24 EST 2025
Wed Aug 27 02:20:03 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 3
Language English
License https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html
https://doi.org/10.15223/policy-029
https://doi.org/10.15223/policy-037
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c294t-9e8c7c1e5dace045195f829ac734b6c2dccb674a0ba3a9719a5e77d7fafc1a333
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0002-9226-0496
0000-0003-4765-1540
0000-0002-7145-0995
0000-0001-7239-4799
0000-0002-9066-1448
0000-0002-1418-7465
PQID 3070781238
PQPubID 2040348
PageCount 17
ParticipantIDs proquest_journals_3070781238
crossref_citationtrail_10_1109_TSTE_2024_3379162
ieee_primary_10475580
crossref_primary_10_1109_TSTE_2024_3379162
PublicationCentury 2000
PublicationDate 2024-07-01
PublicationDateYYYYMMDD 2024-07-01
PublicationDate_xml – month: 07
  year: 2024
  text: 2024-07-01
  day: 01
PublicationDecade 2020
PublicationPlace Piscataway
PublicationPlace_xml – name: Piscataway
PublicationTitle IEEE transactions on sustainable energy
PublicationTitleAbbrev TSTE
PublicationYear 2024
Publisher IEEE
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher_xml – name: IEEE
– name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
References ref13
ref35
ref12
ref34
ref15
ref37
ref14
ref36
ref31
ref30
ref33
ref10
ref32
ref2
ref1
ref17
ref39
ref16
ref38
ref19
ref18
Bertsekas (ref42) 2016
ref24
ref46
ref23
ref45
ref26
ref25
ref20
ref41
ref22
ref21
ref43
He (ref11) 2021
ref28
ref27
ref29
ref8
ref7
ref9
ref4
ref3
ref6
ref5
Nocedal (ref47) 2006
ref40
References_xml – ident: ref18
  doi: 10.1016/j.orl.2021.01.012
– ident: ref6
  doi: 10.1109/TSG.2022.3230016
– ident: ref1
  doi: 10.1109/TSTE.2023.3237229
– ident: ref23
  doi: 10.1109/TPWRS.2022.3197556
– ident: ref19
  doi: 10.1109/JIOT.2023.3252630
– ident: ref39
  doi: 10.1287/opre.2022.2330
– ident: ref40
  doi: 10.1016/j.ejor.2018.06.036
– ident: ref8
  doi: 10.1109/tste.2023.3306529
– ident: ref31
  doi: 10.1016/j.ejor.2021.04.015
– ident: ref26
  doi: 10.1109/TII.2021.3083653
– ident: ref34
  doi: 10.1109/LCSYS.2018.2836870
– ident: ref16
  doi: 10.1109/TPWRS.2023.3242468
– ident: ref24
  doi: 10.1109/TSG.2022.3197435
– ident: ref41
  doi: 10.1007/s10107-011-0494-7
– ident: ref3
  doi: 10.1038/s41467-020-19854-y
– ident: ref27
  doi: 10.1016/j.apenergy.2017.09.112
– ident: ref22
  doi: 10.1109/TPWRS.2020.3034488
– ident: ref32
  doi: 10.1109/TPWRS.2020.3024673
– ident: ref37
  doi: 10.1109/TPWRS.2018.2878385
– ident: ref38
  doi: 10.1137/050622328
– ident: ref25
  doi: 10.1109/TSG.2022.3210232
– volume-title: Numerical Optimization
  year: 2006
  ident: ref47
– ident: ref14
  doi: 10.1007/s10898-020-00966-0
– ident: ref35
  doi: 10.1561/2200000016
– ident: ref29
  doi: 10.2172/1244822
– ident: ref20
  doi: 10.1109/TSTE.2019.2927135
– ident: ref45
  doi: 10.1016/j.epsr.2007.10.002
– ident: ref33
  doi: 10.1109/TPWRS.2020.2978934
– ident: ref15
  doi: 10.1109/TSG.2022.3150412
– ident: ref46
  doi: 10.1017/CBO9780511804441
– ident: ref30
  doi: 10.1109/TSTE.2023.3312119
– volume-title: Nonlinear Programming
  year: 2016
  ident: ref42
– ident: ref7
  doi: 10.1109/TPWRS.2019.2950987
– ident: ref17
  doi: 10.1016/j.apenergy.2022.119939
– ident: ref28
  doi: 10.1109/TII.2020.2971227
– ident: ref4
  doi: 10.1109/TII.2023.3275712
– volume-title: District Heating Engineering
  year: 2021
  ident: ref11
– ident: ref5
  doi: 10.1109/JSYST.2021.3135295
– ident: ref13
  doi: 10.1109/TPWRS.2021.3115521
– ident: ref2
  doi: 10.1038/s41467-023-40670-7
– ident: ref43
  doi: 10.1109/TPWRS.2010.2051168
– ident: ref9
  doi: 10.17775/CSEEJPES.2021.09470
– ident: ref10
  doi: 10.1109/TSG.2022.3210014
– ident: ref12
  doi: 10.1016/j.energy.2018.01.049
– ident: ref36
  doi: 10.1007/s10915-018-0757-z
– ident: ref21
  doi: 10.1007/s10107-017-1172-1
SSID ssj0000333630
Score 2.4643188
Snippet Integrating heating and electricity networks offers extra flexibility to the energy system operation while improving energy utilization efficiency. This paper...
SourceID proquest
crossref
ieee
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 1782
SubjectTerms Algorithms
Alternating minimization algorithm
Cogeneration
Constraints
data-driven
Decision making
distributed optimization
Electricity
Electricity supply industry
Energy utilization
Gas industry
Heating systems
integrated electricity and heating systems (IEHSs)
Integrated energy systems
joint distributionally robust chance-constrained
optimized CVaR approximation (OCA)
Pipelines
Power system modeling
Renewable energy
Renewable energy sources
Robustness
Tightness
Uncertainty
Title Data-Driven Joint Distributionally Robust Chance-Constrained Operation for Multiple Integrated Electricity and Heating Systems
URI https://ieeexplore.ieee.org/document/10475580
https://www.proquest.com/docview/3070781238
Volume 15
WOSCitedRecordID wos001252808200007&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVIEE
  databaseName: IEEE/IET Electronic Library
  customDbUrl:
  eissn: 1949-3037
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000333630
  issn: 1949-3029
  databaseCode: RIE
  dateStart: 20100101
  isFulltext: true
  titleUrlDefault: https://ieeexplore.ieee.org/
  providerName: IEEE
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1NS8MwGA4qHvTgtzi_yMGTUE2bNGmO4iYqOEUneCvpm1QGoxtbJ3jxt5uk2VBEwVsPSWl58vG8yfs-D0InlCrNgNBIcM5sgJKRSFJSRkXGlVaSpAqIN5sQ3W728iIfQrG6r4UxxvjkM3PmHv1dvh7C1B2VnTtZgTTNbIS-KARvirXmByqEUsq9t4iNy919fiLDLWZM5Hnvqdex0WDCzigVlhIl3_Yhb6zyYzX2W8zV-j8_bgOtBS6JLxrwN9GCqbbQ6heFwW300Va1itpjt6bh22G_qnHbSeUGlys1GLzjx2ExndTY1RmAiZyDp_eNMBrfj0wzQLCltvgu5B7im5nEhMYd76LTB8vlsao0vnYUtHrFQQh9Bz1fdXqX11GwXIggkayOpMlAQGxSrcA00jNllkgFgrKCQ6IBCi6YIoWiSopYqtQIoUWpSoiVRWAXLVXDyuwhzEsotSVLWmSMUWNB15RrUoBgOrZrWwuRGQA5BD1y93uD3MclROYOs9xhlgfMWuh03mXUiHH81XjHgfSlYYNPCx3OYM7DfJ3ktFE9svxl_5duB2jFvb3J1D1ES_V4ao7QMrzV_cn42A_FT5a13ag
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1bS8MwGA2igvrgXZzXPPgkVNMmbZpHcZN5m6ITfCvpl1QGoxtbJ_jibzdJM1FEwbc-JLTl5HK-5PvOQeiIUqkYEBrwJGEmQElJICgpgjxNpJKCxBKIM5vgnU76_CzufbG6q4XRWrvkM31iH91dvhrAxB6VnVpZgThOTYQ-FzMWkbpc6_NIhVBKE-cuYiJze6MfCX-PGRJx2n3stkw8GLETSrkhRdG3nchZq_xYj90mc7Hyz89bRcueTeKzGv41NKPLdbT0RWNwA703ZSWD5siuavhq0Csr3LRiud7nSvb7b_hhkE_GFbaVBqAD6-HpnCO0wndDXQ8RbMgtvvXZh_hyKjKhcMv56PTAsHksS4XbloSWL9hLoW-ip4tW97wdeNOFACLBqkDoFDiEOlYSdC0-U6SRkMApyxOIFECecCZJLqkUPBQy1pwrXsgCQmkQ2EKz5aDU2wgnBRTK0CXFU8aoNrArmiiSA2cqNKtbA5EpABl4RXL7e_3MRSZEZBazzGKWecwa6Pizy7CW4_ir8aYF6UvDGp8G2pvCnPkZO85orXtkGMzOL90O0UK7e3uT3Vx2rnfRon1Tnbe7h2ar0UTvo3l4rXrj0YEblh9BZODv
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Data-Driven+Joint+Distributionally+Robust+Chance-Constrained+Operation+for+Multiple+Integrated+Electricity+and+Heating+Systems&rft.jtitle=IEEE+transactions+on+sustainable+energy&rft.au=Zhai%2C+Junyi&rft.au=Jiang%2C+Yuning&rft.au=Zhou%2C+Ming&rft.au=Shi%2C+Yuanming&rft.date=2024-07-01&rft.issn=1949-3029&rft.eissn=1949-3037&rft.volume=15&rft.issue=3&rft.spage=1782&rft.epage=1798&rft_id=info:doi/10.1109%2FTSTE.2024.3379162&rft.externalDBID=n%2Fa&rft.externalDocID=10_1109_TSTE_2024_3379162
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1949-3029&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1949-3029&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1949-3029&client=summon