An Approach to Solve Transient Stability-Constrained Optimal Power Flow Problem Using Support Vector Machines

The Transient Stability-Constrained Optimal Power Flow (TSC-OPF) is a challenging optimization problem, and is the subject of several recent researches. This paper proposes a novel approach to solve TSC-OPF. In the proposed framework, Support Vector Machines (SVMs) are used to classify whether an op...

Full description

Saved in:
Bibliographic Details
Published inElectric power components and systems Vol. 45; no. 6; pp. 624 - 632
Main Authors Nguyen-Duc, Huy, Tran-Hoai, Linh, Cao-Duc, Huy
Format Journal Article
LanguageEnglish
Published Philadelphia Taylor & Francis 03.04.2017
Taylor & Francis Ltd
Subjects
Classification
computational intelligence
Contingency
Optimal Power Flow
Optimization
Power flow
power system dynamics
power system optimization
power system stability
Security
Solvers
Strategy
Support Vector Machines
Systems stability
Vibration
Online AccessGet full text

Cover

Abstract The Transient Stability-Constrained Optimal Power Flow (TSC-OPF) is a challenging optimization problem, and is the subject of several recent researches. This paper proposes a novel approach to solve TSC-OPF. In the proposed framework, Support Vector Machines (SVMs) are used to classify whether an operating condition satisfies predefined transient contingencies. A novel classification strategy is proposed to ensure the optimal solution satisfies all considered contingencies with certain security margin. Besides, the weight coefficients of the SVM are used as sensitivity measures in order to help optimization solver find solutions more effectively. The proposed approach is demonstrated for the New England system and the IEEE 300 bus system.
AbstractList The Transient Stability-Constrained Optimal Power Flow (TSC-OPF) is a challenging optimization problem, and is the subject of several recent researches. This paper proposes a novel approach to solve TSC-OPF. In the proposed framework, Support Vector Machines (SVMs) are used to classify whether an operating condition satisfies predefined transient contingencies. A novel classification strategy is proposed to ensure the optimal solution satisfies all considered contingencies with certain security margin. Besides, the weight coefficients of the SVM are used as sensitivity measures in order to help optimization solver find solutions more effectively. The proposed approach is demonstrated for the New England system and the IEEE 300 bus system.
Author Cao-Duc, Huy
Nguyen-Duc, Huy
Tran-Hoai, Linh
Author_xml – sequence: 1
  givenname: Huy
  surname: Nguyen-Duc
  fullname: Nguyen-Duc, Huy
  email: ngduchuy@gmail.com
  organization: School of Electrical Engineering, Hanoi University of Science and Technology
– sequence: 2
  givenname: Linh
  surname: Tran-Hoai
  fullname: Tran-Hoai, Linh
  organization: School of Electrical Engineering, Hanoi University of Science and Technology
– sequence: 3
  givenname: Huy
  surname: Cao-Duc
  fullname: Cao-Duc, Huy
  organization: Department of Power System Development, Vietnam Institute of Energy
BookMark eNqFkU1rHCEchyWkkLd-hIDQSy6z9WWdUXrpsnTTQkoCm-QqjqOtwdGJul3228dl0x5yaE6KPL-f-n_OwHGIwQBwidEMI44-Y0YJQ4jPCMLdDBNBKOFH4HR_3jCE2-N_e8RPwFnOTwhVTJBTMC4CXExTikr_hiXCdfR_DLxPKmRnQoHronrnXdk1yxhyScoFM8DbqbhReXgXtybBlY9beJdi780IH7ILv-B6M00xFfhodIkJ_qztNZgvwAerfDYfX9dz8LD6dr_83tzcXv9YLm4aTTtcGsWEsPOB9YO2lM0570SnmOqoRkr1_cDVYGw7dG3fGdEigXtm58SqARtiWqbpObg69NaPPW9MLnJ0WRvvVTBxkyUWaE6Q6ERb0U9v0Ke4SaG-TuJ6MaKIU14pdqB0ijknY-WU6gTSTmIk9xLkXwlyL0G-Sqi5L29y2hVVXAz7Ufp3018PaRdsTKPaxuQHWdTOx2SrIu2ypP-veAFXSaMA
CitedBy_id crossref_primary_10_1007_s11081_023_09829_5
crossref_primary_10_1049_iet_gtd_2017_0346
Cites_doi 10.1109/TPWRS.2010.2095045
10.1049/iet-gtd.2014.0263
10.1049/iet-gtd.2012.0539
10.1109/TPWRS.2009.2037717
10.1007/978-1-4613-1635-0
10.1109/TPWRS.2009.2036494
10.1145/1961189.1961199
10.1109/TPWRS.2004.825981
10.1109/TPWRS.2006.881111
10.1109/TPWRS.2010.2051168
10.1109/TPWRS.2012.2216553
10.1109/TPWRS.2014.2353048
10.1109/TPWRS.2009.2039880
10.1049/iet-gtd.2013.0404
10.1109/TPWRS.2012.2222942
10.1016/j.ijepes.2011.01.012
10.1109/59.867137
10.1109/64.621229
10.1109/TPWRS.2009.2030369
10.1109/TPWRS.2004.826018
10.1109/TPWRS.2014.2306431
10.1016/j.epsr.2006.06.006
10.1109/TPWRS.2003.814856
10.1109/TPWRS.2012.2197763
ContentType Journal Article
Copyright Copyright © Taylor & Francis Group, LLC 2017
Copyright © Taylor & Francis Group, LLC
Copyright_xml – notice: Copyright © Taylor & Francis Group, LLC 2017
– notice: Copyright © Taylor & Francis Group, LLC
DBID AAYXX
CITATION
7SP
7TB
8FD
FR3
KR7
L7M
DOI 10.1080/15325008.2017.1292328
DatabaseName CrossRef
Electronics & Communications Abstracts
Mechanical & Transportation Engineering Abstracts
Technology Research Database
Engineering Research Database
Civil Engineering Abstracts
Advanced Technologies Database with Aerospace
DatabaseTitle CrossRef
Civil Engineering Abstracts
Engineering Research Database
Technology Research Database
Mechanical & Transportation Engineering Abstracts
Advanced Technologies Database with Aerospace
Electronics & Communications Abstracts
DatabaseTitleList
Civil Engineering Abstracts
Civil Engineering Abstracts
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 1532-5016
EndPage 632
ExternalDocumentID 4321668785
10_1080_15325008_2017_1292328
1292328
Genre Article
Feature
GroupedDBID .7F
.QJ
0BK
0R~
29G
2DF
30N
4.4
5GY
5VS
8VB
AAENE
AAJMT
AALDU
AAMIU
AAPUL
AAQRR
ABCCY
ABFIM
ABHAV
ABJNI
ABLIJ
ABPAQ
ABPEM
ABTAI
ABXUL
ABXYU
ACGEJ
ACGFS
ACGOD
ACIWK
ACTIO
ADCVX
ADGTB
ADXPE
AEISY
AENEX
AEOZL
AEPSL
AEYOC
AFKVX
AGDLA
AGMYJ
AHDZW
AIJEM
AJWEG
AKBVH
AKOOK
ALMA_UNASSIGNED_HOLDINGS
ALQZU
AQRUH
AVBZW
AWYRJ
BLEHA
CCCUG
CE4
CS3
DGEBU
DKSSO
DU5
EBS
EJD
E~A
E~B
FYQZC
GTTXZ
H13
HF~
HZ~
H~P
IPNFZ
J.P
KYCEM
M4Z
MS~
NA5
NX~
O9-
PQQKQ
QWB
RIG
RNANH
ROSJB
RTWRZ
S-T
SNACF
TBQAZ
TDBHL
TEN
TFL
TFT
TFW
TNC
TTHFI
TUROJ
TWF
UT5
UU3
ZGOLN
ZL0
~S~
AAGDL
AAHIA
AAYXX
ADYSH
AFRVT
AIYEW
AMPGV
CITATION
7SP
7TB
8FD
FR3
KR7
L7M
TASJS
ID FETCH-LOGICAL-c371t-a599f4d5bdcf35488797a5a73c0aabbd8adef6d76b7e96091b5f42fad1e2e65c3
ISSN 1532-5008
IngestDate Fri Jul 11 01:49:51 EDT 2025
Wed Aug 13 07:25:37 EDT 2025
Tue Jul 01 03:31:36 EDT 2025
Thu Apr 24 23:08:21 EDT 2025
Wed Dec 25 09:05:38 EST 2024
IsPeerReviewed true
IsScholarly true
Issue 6
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c371t-a599f4d5bdcf35488797a5a73c0aabbd8adef6d76b7e96091b5f42fad1e2e65c3
Notes SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-1
ObjectType-Feature-2
content type line 23
PQID 1887030838
PQPubID 52905
PageCount 9
ParticipantIDs informaworld_taylorfrancis_310_1080_15325008_2017_1292328
crossref_primary_10_1080_15325008_2017_1292328
proquest_journals_1887030838
crossref_citationtrail_10_1080_15325008_2017_1292328
proquest_miscellaneous_1904209796
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2017-04-03
PublicationDateYYYYMMDD 2017-04-03
PublicationDate_xml – month: 04
  year: 2017
  text: 2017-04-03
  day: 03
PublicationDecade 2010
PublicationPlace Philadelphia
PublicationPlace_xml – name: Philadelphia
PublicationTitle Electric power components and systems
PublicationYear 2017
Publisher Taylor & Francis
Taylor & Francis Ltd
Publisher_xml – name: Taylor & Francis
– name: Taylor & Francis Ltd
References cit0011
cit0012
cit0010
Kundur P. (cit0025) 1994
Weerasoory S. (cit0015) 1992
Pavella M. (cit0027) 1999
Jayasekara U. (cit0026) 2006
cit0019
cit0017
cit0018
cit0016
cit0013
cit0014
cit0001
cit0023
cit0020
cit0021
Haykin S. (cit0022) 1998
cit0008
cit0009
cit0006
cit0028
cit0007
cit0029
cit0004
cit0005
cit0002
cit0024
cit0003
References_xml – ident: cit0008
  doi: 10.1109/TPWRS.2010.2095045
– ident: cit0013
  doi: 10.1049/iet-gtd.2014.0263
– volume-title: Neural Networks: A Comprehensive Foundation
  year: 1998
  ident: cit0022
– ident: cit0023
  doi: 10.1049/iet-gtd.2012.0539
– ident: cit0011
  doi: 10.1109/TPWRS.2009.2037717
– ident: cit0002
  doi: 10.1007/978-1-4613-1635-0
– ident: cit0007
  doi: 10.1109/TPWRS.2009.2036494
– ident: cit0028
  doi: 10.1145/1961189.1961199
– volume-title: Transient Stability of Power System, a Unified Approach to Assessement and Control. Kluwer Academic Publishers
  year: 1999
  ident: cit0027
– ident: cit0001
  doi: 10.1109/TPWRS.2004.825981
– volume-title: Application of Neural Networks for Classification and Identification in Power Systems
  year: 1992
  ident: cit0015
– ident: cit0019
  doi: 10.1109/TPWRS.2006.881111
– volume-title: Power System Stability and Control
  year: 1994
  ident: cit0025
– ident: cit0029
  doi: 10.1109/TPWRS.2010.2051168
– ident: cit0009
  doi: 10.1109/TPWRS.2012.2216553
– ident: cit0003
  doi: 10.1109/TPWRS.2014.2353048
– ident: cit0006
  doi: 10.1109/TPWRS.2009.2039880
– ident: cit0012
  doi: 10.1049/iet-gtd.2013.0404
– ident: cit0014
  doi: 10.1109/TPWRS.2012.2222942
– ident: cit0018
  doi: 10.1016/j.ijepes.2011.01.012
– ident: cit0024
  doi: 10.1109/59.867137
– ident: cit0017
  doi: 10.1109/64.621229
– ident: cit0005
  doi: 10.1109/TPWRS.2009.2030369
– ident: cit0020
  doi: 10.1109/TPWRS.2004.826018
– ident: cit0010
  doi: 10.1109/TPWRS.2014.2306431
– ident: cit0016
  doi: 10.1016/j.epsr.2006.06.006
– ident: cit0004
  doi: 10.1109/TPWRS.2003.814856
– ident: cit0021
  doi: 10.1109/TPWRS.2012.2197763
– year: 2006
  ident: cit0026
  publication-title: IEEE Power Engineering Society General Meeting
SSID ssj0012992
Score 2.1038082
Snippet The Transient Stability-Constrained Optimal Power Flow (TSC-OPF) is a challenging optimization problem, and is the subject of several recent researches. This...
SourceID proquest
crossref
informaworld
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 624
SubjectTerms Classification
computational intelligence
Contingency
Optimal Power Flow
Optimization
Power flow
power system dynamics
power system optimization
power system stability
Security
Solvers
Strategy
Support Vector Machines
Systems stability
Vibration
Title An Approach to Solve Transient Stability-Constrained Optimal Power Flow Problem Using Support Vector Machines
URI https://www.tandfonline.com/doi/abs/10.1080/15325008.2017.1292328
https://www.proquest.com/docview/1887030838
https://www.proquest.com/docview/1904209796
Volume 45
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3db9MwELdge4EHxKcYDGQk3qqUJM7nY7WtqtDYkGih4sVybGcgdcm0JUjjr-fOdtKUVdrgJaoc20l8v96dz_dByHtZKslgm-H5sQq9qMwiD9NmeZlUoJ1nQSp9jEb-dJLMFtHHZbxc23RNdElTjOXvrXEl_0NVaAO6YpTsP1C2nxQa4DfQF65AYbjeicaTCrXIPibqS736pW26coxyREXSuL5ee1iW0xSDAPXyFJjEORDmM9ZHG01XGAtnq8qMrP8AFvoEpXz01Rj0sTTRD_SN37Dhm-I5P-XowkyCful1ZWLljB1-kAUd7cxn7bWuvMPWFFOftb0RH9_Um9W2IDZsinvL9IGo_-7uDBMg7NCfhW3wUtjn-r5lr3rYZsMrOwZs80k6oA25aWLDq51gTqwh9AbPt06SODM-DL310jFoMaAqZmsh1x3sn5zy6eL4mM-PlvP7ZDeEzQVwx93J7PD7t_70CUR0aPPs2g_oIr8y_8PWx2zoNBsZb29IeKO2zB-TR26_QScWPE_IPV09JQ8HWSifkfNJRTsY0aamBka0hxHdCiPqYEQNjCjCiDoYUQMj6mBELYxoB6PnZDE9mh_MPFeFw5MsDRpPxHleRioulCwZ7G-zNE9FLFImfSGKQmVC6TJRaVKkGtMXBkVcRmEpVKBDncSSvSA7FWDwJaFSBUGZg5LJUhGpJCriUPhMyDLTObpR7JGoW0cuXYp6_KoVD1wm2275OS4_d8u_R8b9sAubo-W2AfmQSLwxxrHSVrLh7Jax-x1FuWMFVzyAVcHETwxuv-tvA6PG0zdR6bqFPjnIRz9P8-TVHfq8Jg_W_6l9stNctvoNqL9N8dah9Q9wAqz2
linkProvider Library Specific Holdings
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LT9wwELYoHNoegL7Eu67Ua7ZJHMfxcYVYLY_dIhUqbpbjx6VLgkq2Ffx6ZpxktRRVHDg7dmLHnofnm28I-Wq8NQzcjCjmNo0yX2QR0mZFhbFgnReJMDFmI0-m-fgyO7niV0u5MAirRB_at0QRQVbj4cbL6B4S9w1OKWjuOCCzxAA0FpgFxSuyxmUucK-zeLqIJIC4TVvOVHC6oE-fxfO_YR7pp0fspU-kdVBBow1i-o9vkSe_BvOmHJj7f3gdXza7TbLeWah02G6pd2TFVe_J2yXewg_keljRYUdGTpua_qhnfxwNag_TKylYsAFzexdhPdBQhcJZ-h2k0zWMfI6F2ehoVv-l5205GxqACxQrjII3QH-GSAKdBJynu_1ILkdHF4fjqKvbEBkmkibSXEqfWV5a4xl4RIWQQnMtmIm1LktbaOt8bkVeCoeEd0nJfZZ6bROXupwb9omsVnXltgg1Nkm8BLOECZ3ZPCt5qmOmjS-cxMD7Nsn6v6VMR2qOs5qppOM-7VdT4WqqbjW3yWDR7aZl9Xiug1zeCqoJ1ym-rX2i2DN99_p9ozoBcasSWBWkCmLQ_GXRDEcb4zW6cvUcnpEgUWMpZL7zgtd_Jq_HF5MzdXY8Pd0lb7ApII_YHlltfs_dPhhVTXkQTs0DwlQS1g
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LT9wwELZaKqFyoC0t4tXiSlyzTeIkjo-rtitoYbtSAfVm-XlhSRCbBcGvZ8ZJVlCEOHB2xkkczyv-5htC9oy3hkGaEcW5TaPMl1mEtFlRaSxE52XCTYzVyEfjYv8k-_Uv79GEsw5WiTm0b4kigq1G5b6wvkfEfQMlBccdB2AWH4DDgqigfE3eFFhoiVUc8XhxkADWNm0pUyHnApm-iOepaR64pwfkpY-MdfBAo3dE98_eAk_OBvNGD8ztf7SOL3q592S1i0_psN1QH8grV62RlXushR_J-bCiw46KnDY1_VtPrxwNTg-LKynErwFxexNhN9DQg8JZ-gds0znMPMG2bHQ0ra_ppG1mQwNsgWJ_UcgF6Gk4R6BHAeXpZp_Iyejn8ff9qOvaEBnGkyZSuRA-s7m2xjPIh0ouuMoVZyZWSmtbKut8YXmhuUO6u0TnPku9solLXZEbtk6WqrpyG4QamyReQFDCuMpskek8VTFTxpdO4LH7Jsn6jyVNR2mObzWVScd82q-mxNWU3WpuksFC7KLl9HhOQNzfCbIJP1N82_lEsmdkd_ptIzvzMJMJrAoSBTEY_roYBsXG0xpVuXoO1wiwp7Hgoth6we13yfLkx0geHox_b5O3OBJgR2yHLDWXc_cZIqpGfwk6cwdGhxF6
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=An+Approach+to+Solve+Transient+Stability-Constrained+Optimal+Power+Flow+Problem+Using+Support+Vector+Machines&rft.jtitle=Electric+power+components+and+systems&rft.au=Nguyen-Duc%2C+Huy&rft.au=Tran-Hoai%2C+Linh&rft.au=Cao-Duc%2C+Huy&rft.date=2017-04-03&rft.issn=1532-5008&rft.eissn=1532-5016&rft.volume=45&rft.issue=6&rft.spage=624&rft.epage=632&rft_id=info:doi/10.1080%2F15325008.2017.1292328&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1532-5008&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1532-5008&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1532-5008&client=summon