Random-Fuzzy Chance-Constrained Programming Optimal Power Flow of Wind Integrated Power Considering Voltage Stability

Considering the random and fuzzy nature of wind speed, this paper proposes a multi-objective random-fuzzy chance-constrained programming optimal power flow (OPF) for wind integrated power systems. The proposed method is based on random-fuzzy chance-constrained programming. The optimization model aim...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:IEEE access Ročník 8; s. 217957 - 217966
Hlavní autoři: Ma, Rui, Li, Xuan, Gao, Weicheng, Lu, Peng, Wang, Tieqiang
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Carbon dioxide
chance-constrained programming
Constraints
Decision making
Flow stability
Genetic algorithms
Load flow
Load modeling
Optimal power flow (OPF)
Optimization
Power flow
Power system stability
Programming
random-fuzzy variable
Simulation
Sorting algorithms
Stability criteria
Uncertainty
Voltage stability
wind power generation
Wind speed
ISSN:2169-3536, 2169-3536
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract Considering the random and fuzzy nature of wind speed, this paper proposes a multi-objective random-fuzzy chance-constrained programming optimal power flow (OPF) for wind integrated power systems. The proposed method is based on random-fuzzy chance-constrained programming. The optimization model aims at minimizing generation cost, carbon dioxide (CO2) emission, and system functional power loss, and P-Q-V steady-state voltage stability is included in the constraints. Based on random-fuzzy chance-constrained programming, the corresponding solution process of the proposed multi-objective OPF is proposed, which is a hybrid of random-fuzzy simulation, non-dominated sorting genetic algorithm-II (NSGA-II), and fuzzy satisfaction-maximizing decision-making method. The proposed approach is simulated on the IEEE 30-bus system to provide an example of its application. The simulation results demonstrate that the proposed random-fuzzy chance-constrained programming OPF has higher security and more economy than dynamic stochastic optimal power flow (DSOPF) and dynamic fuzzy optimal power flow (DFOPF).
AbstractList Considering the random and fuzzy nature of wind speed, this paper proposes a multi-objective random-fuzzy chance-constrained programming optimal power flow (OPF) for wind integrated power systems. The proposed method is based on random-fuzzy chance-constrained programming. The optimization model aims at minimizing generation cost, carbon dioxide (CO2) emission, and system functional power loss, and P-Q-V steady-state voltage stability is included in the constraints. Based on random-fuzzy chance-constrained programming, the corresponding solution process of the proposed multi-objective OPF is proposed, which is a hybrid of random-fuzzy simulation, non-dominated sorting genetic algorithm-II (NSGA-II), and fuzzy satisfaction-maximizing decision-making method. The proposed approach is simulated on the IEEE 30-bus system to provide an example of its application. The simulation results demonstrate that the proposed random-fuzzy chance-constrained programming OPF has higher security and more economy than dynamic stochastic optimal power flow (DSOPF) and dynamic fuzzy optimal power flow (DFOPF).
Author Li, Xuan
Lu, Peng
Wang, Tieqiang
Gao, Weicheng
Ma, Rui
Author_xml – sequence: 1
  givenname: Rui
  orcidid: 0000-0001-8489-8126
  surname: Ma
  fullname: Ma, Rui
  email: marui818@126.com
  organization: College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, China
– sequence: 2
  givenname: Xuan
  orcidid: 0000-0001-5066-0523
  surname: Li
  fullname: Li, Xuan
  organization: College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, China
– sequence: 3
  givenname: Weicheng
  orcidid: 0000-0003-2762-4748
  surname: Gao
  fullname: Gao, Weicheng
  organization: College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, China
– sequence: 4
  givenname: Peng
  surname: Lu
  fullname: Lu, Peng
  organization: State Grid Hebei Electric Power Company Ltd., Shijiazhuang, China
– sequence: 5
  givenname: Tieqiang
  surname: Wang
  fullname: Wang, Tieqiang
  organization: State Grid Hebei Electric Power Company Ltd., Shijiazhuang, China
BookMark eNqFkU9r3DAQxU1JoGmaT5CLoWdvR_9s6RhMtl0IJHSb9ihkabzV4pW2spaw-fS1syGUXqqLxOj93gzzPhRnIQYsimsCC0JAfb5p29v1ekGBwoIBBybpu-KCklpVTLD67K_3--JqHLcwHTmVRHNRHL6Z4OKuWh6en49l-8sEi1Ubw5iT8QFd-ZDiJpndzodNeb_PfmeG8iE-YSqXQ3wqY1_-9MGVq5Bx0uWZePmdPbzDNHM_4pDNBst1Np0ffD5-LM57M4x49XpfFo_L2-_t1-ru_suqvbmrLAeZK0FcY1HI2nFKSac4Qk2EbBgzEhkqJ1nPGssABBHgABrV11JaamqFIAy7LFYnXxfNVu_TNH066mi8finEtNEmZW8H1F3XA3ONsj2nnLNuWlDjlHVAOhCc4eT16eS1T_H3Acest_GQwjS-prxWvJENiEnFTiqb4jgm7N-6EtBzXPoUl57j0q9xTZT6h7I-m-xjmGMY_sNen1iPiG_dFK2VEjX7A_wapH4
CODEN IAECCG
CitedBy_id crossref_primary_10_1016_j_epsr_2023_109715
crossref_primary_10_1016_j_ijepes_2022_108653
crossref_primary_10_1016_j_asoc_2021_107725
crossref_primary_10_1016_j_epsr_2024_111089
crossref_primary_10_61435_ijred_2025_60669
crossref_primary_10_1109_ACCESS_2021_3100627
crossref_primary_10_1109_ACCESS_2021_3103067
crossref_primary_10_1177_0309524X221124000
crossref_primary_10_1109_TSG_2025_3570448
crossref_primary_10_3390_pr13030676
crossref_primary_10_3390_pr13010025
crossref_primary_10_1049_gtd2_12717
crossref_primary_10_1080_02564602_2023_2224750
crossref_primary_10_1016_j_apenergy_2023_121612
crossref_primary_10_3390_math10122106
crossref_primary_10_1109_ACCESS_2022_3209996
Cites_doi 10.1007/s40565-014-0094-7
10.1109/TSTE.2015.2489201
10.1109/TEC.2007.914174
10.1016/j.asoc.2016.06.022
10.1109/JSYST.2011.2162896
10.1007/s40565-014-0089-4
10.1109/TSTE.2015.2494010
10.1109/TPWRS.2012.2226761
10.1016/j.renene.2016.02.064
10.1109/TPWRS.2016.2572104
10.1109/TPWRS.2011.2154367
10.1109/TPWRS.2014.2339352
10.1109/TPWRS.2015.2404841
10.1109/TSTE.2015.2482939
10.1016/j.ijepes.2010.06.005
10.1016/j.ijepes.2015.03.003
10.1016/j.rser.2016.01.009
10.1109/TII.2016.2518484
10.1109/TPWRS.2007.907527
10.1007/978-3-540-89484-1
10.1109/TPWRS.2008.922616
10.1049/iet-gtd.2013.0724
10.1109/TPWRS.2011.2180741
10.1109/TPWRS.2018.2807623
10.1109/TPWRS.2009.2033277
10.1109/TPWRS.2008.919201
ContentType Journal Article
Copyright Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020
Copyright_xml – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020
DBID 97E
ESBDL
RIA
RIE
AAYXX
CITATION
7SC
7SP
7SR
8BQ
8FD
JG9
JQ2
L7M
L~C
L~D
DOA
DOI 10.1109/ACCESS.2020.3040382
DatabaseName IEEE All-Society Periodicals Package (ASPP) 2005–Present
IEEE Xplore Open Access Journals
IEEE All-Society Periodicals Package (ASPP) 1998–Present
IEEE/IET Electronic Library
CrossRef
Computer and Information Systems Abstracts
Electronics & Communications Abstracts
Engineered Materials Abstracts
METADEX
Technology Research Database
Materials Research Database
ProQuest Computer Science Collection
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
Materials Research Database
Engineered Materials Abstracts
Technology Research Database
Computer and Information Systems Abstracts – Academic
Electronics & Communications Abstracts
ProQuest Computer Science Collection
Computer and Information Systems Abstracts
Advanced Technologies Database with Aerospace
METADEX
Computer and Information Systems Abstracts Professional
DatabaseTitleList Materials Research Database
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: RIE
  name: IEEE/IET Electronic Library
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 2169-3536
EndPage 217966
ExternalDocumentID oai_doaj_org_article_bbf03d79cf42443b8167d9cd01b0543e
10_1109_ACCESS_2020_3040382
9269956
Genre orig-research
GrantInformation_xml – fundername: National Natural Science Foundation of China
  grantid: 51677007; 51977012
  funderid: 10.13039/501100001809
– fundername: Science and Technology Project of State Grid Hebei Electric Power Company Ltd.
  grantid: KJ2020-061
GroupedDBID 0R~
4.4
5VS
6IK
97E
AAJGR
ABAZT
ABVLG
ACGFS
ADBBV
AGSQL
ALMA_UNASSIGNED_HOLDINGS
BCNDV
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
EBS
EJD
ESBDL
GROUPED_DOAJ
IPLJI
JAVBF
KQ8
M43
M~E
O9-
OCL
OK1
RIA
RIE
RNS
AAYXX
CITATION
7SC
7SP
7SR
8BQ
8FD
JG9
JQ2
L7M
L~C
L~D
ID FETCH-LOGICAL-c408t-51d7ce586d4221b94e06158733a8e3e9d83f37c3005150d0079f688c2a69e05a3
IEDL.DBID RIE
ISICitedReferencesCount 17
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000597792000001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 2169-3536
IngestDate Fri Oct 03 12:51:17 EDT 2025
Sun Jun 29 15:42:58 EDT 2025
Sat Nov 29 04:14:31 EST 2025
Tue Nov 18 21:48:10 EST 2025
Wed Aug 27 02:33:49 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Language English
License https://creativecommons.org/licenses/by/4.0/legalcode
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c408t-51d7ce586d4221b94e06158733a8e3e9d83f37c3005150d0079f688c2a69e05a3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0001-8489-8126
0000-0003-2762-4748
0000-0001-5066-0523
OpenAccessLink https://ieeexplore.ieee.org/document/9269956
PQID 2469478705
PQPubID 4845423
PageCount 10
ParticipantIDs ieee_primary_9269956
crossref_primary_10_1109_ACCESS_2020_3040382
crossref_citationtrail_10_1109_ACCESS_2020_3040382
doaj_primary_oai_doaj_org_article_bbf03d79cf42443b8167d9cd01b0543e
proquest_journals_2469478705
PublicationCentury 2000
PublicationDate 20200000
2020-00-00
20200101
2020-01-01
PublicationDateYYYYMMDD 2020-01-01
PublicationDate_xml – year: 2020
  text: 20200000
PublicationDecade 2020
PublicationPlace Piscataway
PublicationPlace_xml – name: Piscataway
PublicationTitle IEEE access
PublicationTitleAbbrev Access
PublicationYear 2020
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
ref12
ref15
ref14
ref11
ref10
ref2
ref1
ref17
liu (ref7) 2009
ref16
ref18
li (ref9) 2008; 23
ref24
ref23
ref26
ref25
ref20
ref22
ref21
ma (ref6) 2015; 35
ref28
ref27
ref8
ref4
ref3
ref5
sun (ref19) 2015; 35
References_xml – ident: ref28
  doi: 10.1007/s40565-014-0094-7
– ident: ref11
  doi: 10.1109/TSTE.2015.2489201
– ident: ref3
  doi: 10.1109/TEC.2007.914174
– ident: ref26
  doi: 10.1016/j.asoc.2016.06.022
– ident: ref2
  doi: 10.1109/JSYST.2011.2162896
– ident: ref25
  doi: 10.1007/s40565-014-0089-4
– ident: ref15
  doi: 10.1109/TSTE.2015.2494010
– ident: ref13
  doi: 10.1109/TPWRS.2012.2226761
– ident: ref12
  doi: 10.1016/j.renene.2016.02.064
– ident: ref14
  doi: 10.1109/TPWRS.2016.2572104
– ident: ref17
  doi: 10.1109/TPWRS.2011.2154367
– ident: ref27
  doi: 10.1109/TPWRS.2014.2339352
– ident: ref18
  doi: 10.1109/TPWRS.2015.2404841
– ident: ref20
  doi: 10.1109/TSTE.2015.2482939
– ident: ref24
  doi: 10.1016/j.ijepes.2010.06.005
– ident: ref8
  doi: 10.1016/j.ijepes.2015.03.003
– ident: ref1
  doi: 10.1016/j.rser.2016.01.009
– ident: ref21
  doi: 10.1109/TII.2016.2518484
– ident: ref5
  doi: 10.1109/TPWRS.2007.907527
– year: 2009
  ident: ref7
  publication-title: Theory and Practice of Uncertain Programming
  doi: 10.1007/978-3-540-89484-1
– volume: 35
  start-page: 6351
  year: 2015
  ident: ref6
  article-title: Random fuzzy uncertain model for daily wind speed
  publication-title: Proc CSEE
– ident: ref10
  doi: 10.1109/TPWRS.2008.922616
– volume: 35
  start-page: 4308
  year: 2015
  ident: ref19
  article-title: Dynamic stochastic optimal power flow of wind integrated power system considering temporal and spatial correlation of wind speed
  publication-title: Proc CSEE
– ident: ref22
  doi: 10.1049/iet-gtd.2013.0724
– ident: ref23
  doi: 10.1109/TPWRS.2011.2180741
– ident: ref16
  doi: 10.1109/TPWRS.2018.2807623
– ident: ref4
  doi: 10.1109/TPWRS.2009.2033277
– volume: 23
  start-page: 336
  year: 2008
  ident: ref9
  article-title: Power system risk assessment using a hybrid method of fuzzy set and Monte Carlo simulation
  publication-title: IEEE Trans Power Syst
  doi: 10.1109/TPWRS.2008.919201
SSID ssj0000816957
Score 2.2609735
Snippet Considering the random and fuzzy nature of wind speed, this paper proposes a multi-objective random-fuzzy chance-constrained programming optimal power flow...
SourceID doaj
proquest
crossref
ieee
SourceType Open Website
Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 217957
SubjectTerms Carbon dioxide
chance-constrained programming
Constraints
Decision making
Flow stability
Genetic algorithms
Load flow
Load modeling
Optimal power flow (OPF)
Optimization
Power flow
Power system stability
Programming
random-fuzzy variable
Simulation
Sorting algorithms
Stability criteria
Uncertainty
Voltage stability
wind power generation
Wind speed
SummonAdditionalLinks – databaseName: DOAJ Directory of Open Access Journals
  dbid: DOA
  link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1BaxQxFA5SPOhB1CqutpKDR4dmkpkk79guXSxIXaStvYVMkgFhuyvtbkv76_teJrssCHrpdfKSmeR78-a9Ifk-xr4oozqbGl1BVG3V2CgrHyFWogOR2t7LkCVZLr6b01N7eQnTLakv2hM20AMPC3fQdb1Q0UDo6UgWDlxrEyFEUXeYbahE0VcY2CqmcgxGM2hNoRmqBRwcjsc4IywIJdap6LmZem_rU5QZ-4vEyl9xOX9sJq_Zq5Il8sPh6d6wZ2n-lr3c4g7cZauffh4xwE1WDw_3nA4JhFSR_GYWfUiRT4edV1dozX9gYLjCAaekicYns8UdX_T8F9bj_GTNFxFL61rCk_pdLGZLDDgcU9K8ifb-HTufHJ-Nv1VFQ6EKjbDLqq2jCam1OjZS1h00iXIYa5TyNqkE0apemaCy1ouImDFAr60N0mtIovXqPduZL-bpA-NeYyNYhCNhVagbL7teUgIBvtMp2RGT6-V0oRCM05RnLhcaAtyAgSMMXMFgxL5uOv0Z-DX-bX5EOG1MiRw7X0CXccVl3P9cZsR2CeXNICA1ne8dsb016q68yDdONhqIv0i0H5_i1p_YC5rO8A9nj-0sr1dpnz0Pt8vfN9efsw8_AqBZ8fg
  priority: 102
  providerName: Directory of Open Access Journals
Title Random-Fuzzy Chance-Constrained Programming Optimal Power Flow of Wind Integrated Power Considering Voltage Stability
URI https://ieeexplore.ieee.org/document/9269956
https://www.proquest.com/docview/2469478705
https://doaj.org/article/bbf03d79cf42443b8167d9cd01b0543e
Volume 8
WOSCitedRecordID wos000597792000001&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: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  customDbUrl:
  eissn: 2169-3536
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000816957
  issn: 2169-3536
  databaseCode: DOA
  dateStart: 20130101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
– providerCode: PRVHPJ
  databaseName: ROAD: Directory of Open Access Scholarly Resources
  customDbUrl:
  eissn: 2169-3536
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000816957
  issn: 2169-3536
  databaseCode: M~E
  dateStart: 20130101
  isFulltext: true
  titleUrlDefault: https://road.issn.org
  providerName: ISSN International Centre
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1Lb9QwELbaigMceBXEQql84NhQx078OJZVVyBBWSEovVmJPZGQthvU7rZqD_x2ZhxvVAmExCWKYjuyM2N7ZuL5PsbeKKNaC5UuXFR1Udkoiya6WIjWCai7RoZEyXL60Zyc2LMzN99iB2MuDACkw2fwlm7Tv_zYhzWFyg6d1JSIuc22jdFDrtYYTyECCVebDCxUCnd4NJ3iGNAFlOiZoq4msL07m0_C6M-kKn-sxGl7mT36v449Zg-zGcmPBrk_YVuwfMoe3AEX3GXrL80y4go4W9_e3nDKIghQED9nYoWAyOfD0axzrM0_48pxji-cE2kany36a953_Ds67PzDBlAi5tINxye1O-0XK1yRONqs6ZTtzTP2bXb8dfq-yCQLRaiEXRV1GU2A2upYSVm2rgIycqxRqrGgwEWrOmWCSmQwIqJJ4TptbZCNdiDqRj1nO8t-CS8YbzQWOtsJBeg26qqRbSfJwnBNqwHshMnN1_chI5DTkBc-eSLC-UFknkTms8gm7GBs9HMA4Ph39Xck1rEqoWenBygvnyejb1vsYzQudJTmh8paahNdiKJs0YJVMGG7JOPxJVm8E7a3URKfZ_qll5V2BHAk6pd_b_WK3acODmGbPbazuljDa3YvXK1-XF7spxgAXj_9Ot5PCv0b2w3xUg
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1Lb9QwEB6VggQceBXUhQI-cGyoYzuOfSwrVq1YlhUqpTfLsScS0nZTtbug9tdjO96oEgiJWxQ_ZGfG4xnH830A73jNG4VCFtrzqhDKs8J67QvaaIpVa5lLlCyn03o2U2dner4F-0MuDCKmy2f4Pj6mf_m-c-t4VHagmYyJmHfgbiUEo3221nCiEikkdFVnaKGS6oPD8TjMIgSBLMSmQVsT3N6t7Seh9GdalT9scdpgJo__b2hP4FF2JMlhL_mnsIXLZ_DwFrzgDqy_2qUPNnCyvrm5JjGPwGERGToTLwR6Mu8vZ52H2uRLsB3nocN5pE0jk0X3i3Qt-R5CdnK8gZTwuXTD8hnbnXaLVbBJJHit6Z7t9XP4Nvl4Mj4qMs1C4QRVq6Iqfe2wUtILxspGC4xujqo5two5aq94y2vHEx0M9cGp0K1UyjErNdLK8hewveyWuAvEylCoVUs5hsBRCsualkUfQ9tGIqoRsM3XNy5jkMcpL0yKRag2vchMFJnJIhvB_tDooofg-Hf1D1GsQ9WIn51eBHmZvBxN04Qx-lq7Nib6BXUtZe2187Rsgg_LcQQ7UcZDJ1m8I9jbKInJa_3KMCF1hDii1cu_t3oL949OPk_N9Hj26RU8iIPtD3H2YHt1ucbXcM_9XP24unyTFPo3K5nycw
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=Random-Fuzzy+Chance-Constrained+Programming+Optimal+Power+Flow+of+Wind+Integrated+Power+Considering+Voltage+Stability&rft.jtitle=IEEE+access&rft.au=Ma%2C+Rui&rft.au=Li%2C+Xuan&rft.au=Gao%2C+Weicheng&rft.au=Lu%2C+Peng&rft.date=2020&rft.issn=2169-3536&rft.eissn=2169-3536&rft.volume=8&rft.spage=217957&rft.epage=217966&rft_id=info:doi/10.1109%2FACCESS.2020.3040382&rft.externalDBID=n%2Fa&rft.externalDocID=10_1109_ACCESS_2020_3040382
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2169-3536&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2169-3536&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2169-3536&client=summon