Multiobjective Optimization for Arrangement of the Asymmetric-Paths Winding Based on Improved Discrete Particle Swarm Approach

The asymmetric-paths winding is a novel ac winding with a fractional ratio of the number of poles to the number of paths, which is beneficial for the optimized design of machines. Resulting from the numerous combinations of slot-vectors for path windings, the optimized arrangement with a low asymmet...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on energy conversion Jg. 33; H. 3; S. 1571 - 1578
Hauptverfasser: Guo, Zhongqi, Liang, Yanping, Bian, Xu, Wang, Dongmei
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.09.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
arrangement
asymmetric-paths winding
Asymmetry
Coils (windings)
Design optimization
discrete particle swarm optimization algorithm (DPSO)
Finite element method
fuzzy inference system
Fuzzy logic
Harmonic analysis
Harmonic distortion
Mathematical analysis
Mathematical model
Multi-objective optimization
Multiple objective analysis
Optimization
Particle swarm optimization
Stator windings
Technical services
Vectors (mathematics)
Winding
Windings
ISSN:0885-8969, 1558-0059
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Abstract The asymmetric-paths winding is a novel ac winding with a fractional ratio of the number of poles to the number of paths, which is beneficial for the optimized design of machines. Resulting from the numerous combinations of slot-vectors for path windings, the optimized arrangement with a low asymmetric degree can hardly be achieved by existing methods. Focusing on the optimization for arrangements of this winding, the mathematical optimization model considering two objectives for the percentage of the electromotive force error and the total harmonic distortion is built. In addition, an improved discrete particle swarm optimization approach is proposed and includes a setting method for the initial positions, a discrete operator with chaotic mutation for the velocity update, and an aggregate strategy combined with fuzzy inference. To validate the proposed approach, a winding design of a hydrogenerator is presented combined with the finite element analysis. The results show that the optimized arrangement presents a low asymmetric degree and harmonic. This approach provides a technical support for the arrangement optimization of an asymmetric-paths winding.
AbstractList The asymmetric-paths winding is a novel ac winding with a fractional ratio of the number of poles to the number of paths, which is beneficial for the optimized design of machines. Resulting from the numerous combinations of slot-vectors for path windings, the optimized arrangement with a low asymmetric degree can hardly be achieved by existing methods. Focusing on the optimization for arrangements of this winding, the mathematical optimization model considering two objectives for the percentage of the electromotive force error and the total harmonic distortion is built. In addition, an improved discrete particle swarm optimization approach is proposed and includes a setting method for the initial positions, a discrete operator with chaotic mutation for the velocity update, and an aggregate strategy combined with fuzzy inference. To validate the proposed approach, a winding design of a hydrogenerator is presented combined with the finite element analysis. The results show that the optimized arrangement presents a low asymmetric degree and harmonic. This approach provides a technical support for the arrangement optimization of an asymmetric-paths winding.
Author Bian, Xu
Liang, Yanping
Guo, Zhongqi
Wang, Dongmei
Author_xml – sequence: 1
  givenname: Zhongqi
  orcidid: 0000-0002-8758-1201
  surname: Guo
  fullname: Guo, Zhongqi
  email: 657840571@qq.com
  organization: Harbin University of Science and Technology, Harbin, China
– sequence: 2
  givenname: Yanping
  orcidid: 0000-0003-2101-667X
  surname: Liang
  fullname: Liang, Yanping
  email: liangyanping2010@126.com
  organization: Harbin University of Science and Technology, Harbin, China
– sequence: 3
  givenname: Xu
  surname: Bian
  fullname: Bian, Xu
  email: bianxu2013@126.com
  organization: Harbin University of Science and Technology, Harbin, China
– sequence: 4
  givenname: Dongmei
  surname: Wang
  fullname: Wang, Dongmei
  email: 15104580484@163.com
  organization: Harbin University of Science and Technology, Harbin, China
BookMark eNp9kEtPGzEURi1EJcJjj8TGUtcTrmfsGXuZpkCRqEAqiOXI47lOHGUetR0QLPjtNSRi0QV34yvrO_6sc0j2-6FHQk4ZTBkDdX5_MZ_mwOQ0l7nIVbFHJkwImQEItU8mIKXIpCrVATkMYQXAuMjZhLz93qyjG5oVmuiekN6O0XXuVae7ntrB05n3ul9gh32kg6VxiXQWXroOo3cmu9NxGeij61vXL-gPHbClCbzuRj88pf2nC8ZjRHqnfXRmjfTPs_YdnY0poM3ymHyzeh3wZHcekYfLi_v5r-zm9up6PrvJTK5YzDS33DZVa7lQjRJthYC2VUYwaYzgDYIGC0aVtkpTgjKlZQUUjS0bYBUvjsj37bup9u8GQ6xXw8b3qbLOGasYV1IWKVVuU8YPIXi0tXHxQ0X02q1rBvW76zq5rt9d1zvXCYT_wNG7TvuXr5CzLeIQ8TOePsE5y4t_GtON0Q
CODEN ITCNE4
CitedBy_id crossref_primary_10_1016_j_ymssp_2024_111715
crossref_primary_10_1049_rpg2_12328
crossref_primary_10_3390_pr10091708
crossref_primary_10_1109_TEC_2020_3037358
crossref_primary_10_1109_TEC_2019_2930617
crossref_primary_10_1109_TEC_2022_3146321
crossref_primary_10_1109_TNANO_2020_3034965
crossref_primary_10_1109_JESTPE_2021_3091983
crossref_primary_10_1016_j_rser_2022_112785
crossref_primary_10_1109_ACCESS_2019_2942200
crossref_primary_10_1109_TEC_2019_2912873
Cites_doi 10.1109/TIE.2011.2116756
10.1109/ICPEICES.2016.7853118
10.1109/TIE.2016.2522389
10.1109/TIE.2013.2295770
10.1049/cp.2010.0132
10.1109/TEC.2015.2411677
10.1109/TPWRS.2009.2016524
10.1109/MHS.1995.494215
10.1109/TEC.2004.842389
10.1049/piee.1970.0347
10.1109/TEC.2017.2777397
10.1109/TEC.2016.2624219
10.1109/TIE.2012.2188873
10.1109/TIE.2014.2363049
10.1109/TEC.2015.2457397
10.1109/TEC.2016.2552546
10.1109/TIE.2014.2301740
10.1109/ICSMC.1997.637339
10.1109/TMAG.2014.2369860
10.1109/IEMDC.2015.7409305
10.1109/TIA.2011.2168595
10.1109/ICPEICES.2016.7853592
ContentType Journal Article
Copyright Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018
Copyright_xml – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018
DBID 97E
RIA
RIE
AAYXX
CITATION
7SP
7TB
8FD
FR3
KR7
L7M
DOI 10.1109/TEC.2018.2825293
DatabaseName IEEE Xplore (IEEE)
IEEE All-Society Periodicals Package (ASPP) 1998–Present
IEEE Electronic Library (IEL)
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
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 1558-0059
EndPage 1578
ExternalDocumentID 10_1109_TEC_2018_2825293
8334412
Genre orig-research
GrantInformation_xml – fundername: National Natural Science Foundation of China
  grantid: 51477038
  funderid: 10.13039/501100001809
– fundername: Natural Science Foundation of Heilongjiang Province
  grantid: E2015061
  funderid: 10.13039/501100005046
GroupedDBID -~X
.DC
0R~
29I
3EH
4.4
5GY
5VS
6IK
97E
AAJGR
AARMG
AASAJ
AAWTH
ABAZT
ABQJQ
ABVLG
ACGFO
ACGFS
ACIWK
AENEX
AETIX
AGQYO
AGSQL
AHBIQ
AI.
AIBXA
AKJIK
AKQYR
ALLEH
ALMA_UNASSIGNED_HOLDINGS
ASUFR
ATWAV
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CS3
DU5
EBS
EJD
HZ~
H~9
ICLAB
IFIPE
IFJZH
IPLJI
JAVBF
LAI
M43
MS~
O9-
OCL
P2P
RIA
RIE
RNS
TAE
TN5
VH1
VJK
AAYXX
CITATION
7SP
7TB
8FD
FR3
KR7
L7M
ID FETCH-LOGICAL-c291t-a4f4fb7df459b95d7e0efd9c518cc54be0a0f0c96f7777609c6f1303bf6b01743
IEDL.DBID RIE
ISICitedReferencesCount 12
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000443085800063&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 0885-8969
IngestDate Sat Oct 04 23:56:40 EDT 2025
Tue Nov 18 22:32:14 EST 2025
Sat Nov 29 04:07:05 EST 2025
Wed Aug 27 08:31:44 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 3
Language English
License https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c291t-a4f4fb7df459b95d7e0efd9c518cc54be0a0f0c96f7777609c6f1303bf6b01743
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0002-8758-1201
0000-0003-2101-667X
PQID 2117149883
PQPubID 85443
PageCount 8
ParticipantIDs crossref_citationtrail_10_1109_TEC_2018_2825293
ieee_primary_8334412
proquest_journals_2117149883
crossref_primary_10_1109_TEC_2018_2825293
PublicationCentury 2000
PublicationDate 2018-Sept.
2018-9-00
20180901
PublicationDateYYYYMMDD 2018-09-01
PublicationDate_xml – month: 09
  year: 2018
  text: 2018-Sept.
PublicationDecade 2010
PublicationPlace New York
PublicationPlace_xml – name: New York
PublicationTitle IEEE transactions on energy conversion
PublicationTitleAbbrev TEC
PublicationYear 2018
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
ref16
ref19
ref18
zhu (ref5) 1988; 18
ref24
ref23
ref25
ref20
ref22
ref21
li (ref6) 2011
ref7
ref9
ref4
ref3
li (ref8) 2006; 36
References_xml – ident: ref19
  doi: 10.1109/TIE.2011.2116756
– ident: ref20
  doi: 10.1109/ICPEICES.2016.7853118
– ident: ref16
  doi: 10.1109/TIE.2016.2522389
– ident: ref1
  doi: 10.1109/TIE.2013.2295770
– ident: ref10
  doi: 10.1049/cp.2010.0132
– ident: ref13
  doi: 10.1109/TEC.2015.2411677
– ident: ref22
  doi: 10.1109/TPWRS.2009.2016524
– ident: ref17
  doi: 10.1109/MHS.1995.494215
– ident: ref3
  doi: 10.1109/TEC.2004.842389
– ident: ref4
  doi: 10.1049/piee.1970.0347
– ident: ref14
  doi: 10.1109/TEC.2017.2777397
– ident: ref12
  doi: 10.1109/TEC.2016.2624219
– ident: ref24
  doi: 10.1109/TIE.2012.2188873
– ident: ref25
  doi: 10.1109/TIE.2014.2363049
– ident: ref11
  doi: 10.1109/TEC.2015.2457397
– ident: ref15
  doi: 10.1109/TEC.2016.2552546
– ident: ref2
  doi: 10.1109/TIE.2014.2301740
– year: 2011
  ident: ref6
  article-title: 252-slot and 14-pole asymmetric four-branch two-layer three-phase stator winding
– ident: ref18
  doi: 10.1109/ICSMC.1997.637339
– volume: 36
  start-page: 19
  year: 2006
  ident: ref8
  article-title: Discussion on asymmetric-branches connection of hydro-generator stator winding
  publication-title: Large Electric Machine and Hydraulic Turbine
– ident: ref9
  doi: 10.1109/TMAG.2014.2369860
– ident: ref23
  doi: 10.1109/IEMDC.2015.7409305
– ident: ref7
  doi: 10.1109/TIA.2011.2168595
– volume: 18
  start-page: 7
  year: 1988
  ident: ref5
  article-title: Primary study on employing the asymmetric stator windings in hydro-generators
  publication-title: Large Electric Machine and Hydraulic Turbine
– ident: ref21
  doi: 10.1109/ICPEICES.2016.7853592
SSID ssj0014521
Score 2.3227901
Snippet The asymmetric-paths winding is a novel ac winding with a fractional ratio of the number of poles to the number of paths, which is beneficial for the optimized...
SourceID proquest
crossref
ieee
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 1571
SubjectTerms arrangement
asymmetric-paths winding
Asymmetry
Coils (windings)
Design optimization
discrete particle swarm optimization algorithm (DPSO)
Finite element method
fuzzy inference system
Fuzzy logic
Harmonic analysis
Harmonic distortion
Mathematical analysis
Mathematical model
Multi-objective optimization
Multiple objective analysis
Optimization
Particle swarm optimization
Stator windings
Technical services
Vectors (mathematics)
Winding
Windings
Title Multiobjective Optimization for Arrangement of the Asymmetric-Paths Winding Based on Improved Discrete Particle Swarm Approach
URI https://ieeexplore.ieee.org/document/8334412
https://www.proquest.com/docview/2117149883
Volume 33
WOSCitedRecordID wos000443085800063&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 Electronic Library (IEL)
  customDbUrl:
  eissn: 1558-0059
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0014521
  issn: 0885-8969
  databaseCode: RIE
  dateStart: 19860101
  isFulltext: true
  titleUrlDefault: https://ieeexplore.ieee.org/
  providerName: IEEE
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3NS8MwFA9zeNCDX1OcTsnBi2C3tE3b5DjnxIPMgRN3K02awMRtsm6KF_92X9JsKIpgTzn0hdJf8j7y8nsPoTMmjR1lmSdVBgFKQLQnMiJgu_scrJcgmbJ1Zm-TXo8Nh7xfQRcrLoxSyl4-U00ztLn8fCoX5qisxcIQrDco3LUkiUuu1ipjQCPLsYJNE3mMx3yZkiS8Neh2zB0u1jQ8zYCH30yQ7anyQxFb63K9_b_v2kFbzovE7RL2XVRRkz20-aW2YA19WGrtVDyVGg3fgW4YO9IlBk8VhGeGWGCmxlONwRHE7eJ9PDYttqTXB8-wwI8jS3rBl2DrcgyC5RkEjK9GoG_A4cZ9t_bw_Vs2G-O2q1G-jx6uu4POjeeaLXgy4P7cy6imWiS5phEXPMoTRZTOuYx8JiWApkhGNJE81gk8MeEy1sb-CR0LYsKaA1SdTCfqEGEWSxpTSQBrSnM_477igaIwn0k6hqKOWsv_n0pXidw0xHhObURCeAqIpQax1CFWR-criZeyCscf79YMQqv3HDh11FhCnLptWqQQ_SYQIjIWHv0udYw2zNzlpbIGqs5nC3WC1uXrfFTMTu0K_ASEwtnq
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PT9swFH5CZdLgwNgAUWDMBy5IS-s0TmIfC6NiWukqrdN6i2LHlopoi9IWxIW_nWfHjYY2TVpOPvg5UT77_fDz9wxwxpW1ozwPlM4xQOlQE8icSlzuoUDrJWmuXZ3ZfjoY8PFYDDfgc82F0Vq7w2e6ZZsul1_M1cpulbV5FKH1RoW7GTMctmJr1TkDFjuWFS6bOOAiEeukJBXt0dWlPcXFW5ap2RHRKyPkblX5QxU7-9J7939ftgs73o8k3Qr497ChZx9g-7fqgnvw7Mi1c3lb6TTyHbXD1NMuCfqqKFxaaoEdmswNQVeQdBdP06m9ZEsFQ_QNF-TXxNFeyAVau4KgYLULge0vE9Q46HKToZ995MdjXk5J11cp34efvavR5XXgr1sIVEeEyyBnhhmZFobFQoq4SDXVphAqDrlSCJumOTVUicSk-CRUqMRYCyhNIqkNbA6gMZvP9CEQniiWMEURbcaKMBehFh3NcDybdoxkE9rr_58pX4vcXolxl7mYhIoMEcssYplHrAnntcR9VYfjH333LEJ1Pw9OE07WEGd-oS4yjH9TDBI5j47-LvUJ3l6PbvpZ_-vg2zFs2fdUR8xOoLEsV_ojvFEPy8miPHWz8QX_N90x
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=Multiobjective+Optimization+for+Arrangement+of+the+Asymmetric-Paths+Winding+Based+on+Improved+Discrete+Particle+Swarm+Approach&rft.jtitle=IEEE+transactions+on+energy+conversion&rft.au=Guo%2C+Zhongqi&rft.au=Liang%2C+Yanping&rft.au=Bian%2C+Xu&rft.au=Wang%2C+Dongmei&rft.date=2018-09-01&rft.pub=IEEE&rft.issn=0885-8969&rft.volume=33&rft.issue=3&rft.spage=1571&rft.epage=1578&rft_id=info:doi/10.1109%2FTEC.2018.2825293&rft.externalDocID=8334412
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0885-8969&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0885-8969&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0885-8969&client=summon