Collection System Topology for Deep-Sea Offshore Wind Farms Considering Wind Characteristics
DC series-parallel collection system has recently been widely discussed for integrating deep-sea OWFs because it saves the offshore HVDC stations. However, comparing with traditional offshore electrical collection systems, there is a unique operational problem introducing by the DC series-parallel s...
Saved in:
Published in | IEEE transactions on energy conversion Vol. 37; no. 1; pp. 631 - 642 |
---|---|
Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.03.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | DC series-parallel collection system has recently been widely discussed for integrating deep-sea OWFs because it saves the offshore HVDC stations. However, comparing with traditional offshore electrical collection systems, there is a unique operational problem introducing by the DC series-parallel system that is the wind power curtailment caused by the wind power fluctuations. In this paper, a rigorous mathematical analysis of wind power curtailment is conducted, and an optimization model considering wind power curtailment for DC series-parallel collection systems is proposed. To address the particularities of the series-parallel collection system in graph theory, an improved parthenogenetic algorithm (PGA) is suggested to address the optimization problem. The proposed model and optimization algorithms are tested based on a deep-sea OWF with 56 wind turbines (WTs). The simulation results show that considering wind power curtailment during the DC series-parallel system planning helps to save the levelized cable cost of energy (LCCOE) in the long term, and putting the wiring direction of the series as perpendicular as possible to the prevailing wind direction of the OWF helps to increase the power generation of the OWF and reduce LCCOE. |
---|---|
AbstractList | DC series-parallel collection system has recently been widely discussed for integrating deep-sea OWFs because it saves the offshore HVDC stations. However, comparing with traditional offshore electrical collection systems, there is a unique operational problem introducing by the DC series-parallel system that is the wind power curtailment caused by the wind power fluctuations. In this paper, a rigorous mathematical analysis of wind power curtailment is conducted, and an optimization model considering wind power curtailment for DC series-parallel collection systems is proposed. To address the particularities of the series-parallel collection system in graph theory, an improved parthenogenetic algorithm (PGA) is suggested to address the optimization problem. The proposed model and optimization algorithms are tested based on a deep-sea OWF with 56 wind turbines (WTs). The simulation results show that considering wind power curtailment during the DC series-parallel system planning helps to save the levelized cable cost of energy (LCCOE) in the long term, and putting the wiring direction of the series as perpendicular as possible to the prevailing wind direction of the OWF helps to increase the power generation of the OWF and reduce LCCOE. |
Author | Li, Fangxing Huang, Ling-ling Fu, Yang Liu, Yang Ying, Feixiang |
Author_xml | – sequence: 1 givenname: Yang orcidid: 0000-0002-0224-9016 surname: Fu fullname: Fu, Yang email: mfudong@126.com organization: Shanghai University of Electric Power, Shanghai, China – sequence: 2 givenname: Yang orcidid: 0000-0001-6951-0787 surname: Liu fullname: Liu, Yang email: liuyang_ssun@163.com organization: Shanghai University, Shanghai, China – sequence: 3 givenname: Ling-ling orcidid: 0000-0001-5264-8245 surname: Huang fullname: Huang, Ling-ling email: linglinghuang82@gmail.com organization: Shanghai University of Electric Power, Shanghai, China – sequence: 4 givenname: Feixiang orcidid: 0000-0001-8504-0842 surname: Ying fullname: Ying, Feixiang email: 1353336514@qq.com organization: Shanghai University of Electric Power, Shanghai, China – sequence: 5 givenname: Fangxing orcidid: 0000-0003-1060-7618 surname: Li fullname: Li, Fangxing email: fli6@utk.edu organization: University of Tennessee at Knoxville, Knoxville, TN, USA |
BookMark | eNp9kL1rwzAQxUVJoUnavdDF0NmpPvwhjcVN2kIgQ1K6FIQsnRMFx3IlZ8h_XweHDh3KDQeP97vjvQkaNa4BhO4JnhGCxdNmXswopmTGCE76uUJjkqY8xjgVIzTGnKcxF5m4QZMQ9hiTJKVkjL4KV9egO-uaaH0KHRyijWtd7banqHI-egFo4zWoaFVVYec8RJ-2MdFC-UOICtcEa8DbZjvIxU55pbteCZ3V4RZdV6oOcHfZU_SxmG-Kt3i5en0vnpexpoJ0cSm4NrQswVRcJ1RzDRU1wLXIqaGasjLPQaQsB5MbBkrRqmRJjlmpjUkoZVP0ONxtvfs-Qujk3h1907-UNGNEZCzhrHdlg0t7F4KHSmrbqXPyzitbS4LluUnZNynPTcpLkz2I_4CttwflT_8hDwNiAeDXLlJC8j7ID9-UgY8 |
CODEN | ITCNE4 |
CitedBy_id | crossref_primary_10_1109_TIA_2023_3316188 crossref_primary_10_3390_jmse12030424 crossref_primary_10_3390_en16062551 crossref_primary_10_1016_j_egyr_2022_10_176 crossref_primary_10_3390_en18030594 crossref_primary_10_1007_s43236_025_00991_w crossref_primary_10_1016_j_epsr_2025_111431 crossref_primary_10_1016_j_segan_2024_101418 crossref_primary_10_1109_TSTE_2023_3243386 crossref_primary_10_1088_1742_6596_2584_1_012131 crossref_primary_10_1109_TPEL_2023_3347625 crossref_primary_10_1109_TPEL_2022_3197081 crossref_primary_10_1109_TSTE_2024_3519432 crossref_primary_10_3390_electronics13244993 crossref_primary_10_3390_pr12061215 crossref_primary_10_1016_j_segan_2024_101447 crossref_primary_10_1109_TPEL_2023_3345019 crossref_primary_10_1080_14786451_2023_2168001 crossref_primary_10_3390_electronics13030505 crossref_primary_10_1016_j_apenergy_2023_121546 crossref_primary_10_3389_fenrg_2024_1445383 crossref_primary_10_1007_s43538_023_00150_4 crossref_primary_10_1016_j_renene_2024_121938 |
Cites_doi | 10.1109/TSTE.2011.2174260 10.1109/TSTE.2016.2646061 10.1109/JESTPE.2015.2425536 10.1002/we.259 10.1109/TSTE.2020.2980970 10.1145/3209914.3234638 10.1109/TSTE.2018.2829929 10.1109/TEC.2015.2417130 10.1109/TPEL.2018.2834965 10.1109/TSTE.2018.2839712 10.1049/joe.2017.0528 10.1109/TSTE.2016.2549602 10.1002/we.507 10.1049/cp.2016.0455 10.1049/cp.2012.1948 10.1016/j.asoc.2017.12.031 10.1109/TIA.2007.908182 10.1109/TPWRS.2019.2957312 10.1109/PESGM.2012.6344689 10.1109/TPWRD.2019.2960405 10.1109/TSTE.2019.2942541 10.1109/TEC.2006.889624 10.1109/ACEMP-OPTIM44294.2019.9007223 10.1049/iet-rpg.2017.0457 10.1016/j.renene.2011.08.053 10.1109/TIE.2013.2245619 |
ContentType | Journal Article |
Copyright | Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022 |
Copyright_xml | – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022 |
DBID | 97E RIA RIE AAYXX CITATION 7SP 7TB 8FD FR3 KR7 L7M |
DOI | 10.1109/TEC.2021.3104040 |
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://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/ sourceTypes: Publisher |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Engineering |
EISSN | 1558-0059 |
EndPage | 642 |
ExternalDocumentID | 10_1109_TEC_2021_3104040 9511795 |
Genre | orig-research |
GrantInformation_xml | – fundername: Research on Optimization of Offshore Wind Farm Clusters Network Planning grantid: 4000-201999350A-0-0-00 – fundername: State Grid Corporation of China; SGCC funderid: 10.13039/501100010880 |
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 RIG 7SP 7TB 8FD FR3 KR7 L7M |
ID | FETCH-LOGICAL-c291t-b98cd2bbedf8c42c8cef2de8c972d2c23b77e9537ed7d3eaa2fb34703bcdd4223 |
IEDL.DBID | RIE |
ISSN | 0885-8969 |
IngestDate | Mon Jun 30 05:25:57 EDT 2025 Tue Jul 01 02:53:24 EDT 2025 Thu Apr 24 23:07:40 EDT 2025 Wed Aug 27 02:49:35 EDT 2025 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 1 |
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-c291t-b98cd2bbedf8c42c8cef2de8c972d2c23b77e9537ed7d3eaa2fb34703bcdd4223 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ORCID | 0000-0003-1060-7618 0000-0002-0224-9016 0000-0001-6951-0787 0000-0001-8504-0842 0000-0001-5264-8245 |
PQID | 2631963483 |
PQPubID | 85443 |
PageCount | 12 |
ParticipantIDs | proquest_journals_2631963483 ieee_primary_9511795 crossref_citationtrail_10_1109_TEC_2021_3104040 crossref_primary_10_1109_TEC_2021_3104040 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2022-March 2022-3-00 20220301 |
PublicationDateYYYYMMDD | 2022-03-01 |
PublicationDate_xml | – month: 03 year: 2022 text: 2022-March |
PublicationDecade | 2020 |
PublicationPlace | New York |
PublicationPlace_xml | – name: New York |
PublicationTitle | IEEE transactions on energy conversion |
PublicationTitleAbbrev | TEC |
PublicationYear | 2022 |
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 Lundberg (ref21) 2006 ref14 ref30 ref11 ref10 ref17 ref16 ref19 ref18 Snnichsen (ref2) 2020 Qin (ref31) ref24 ref23 ref26 ref20 ref22 Maojun (ref25) 2002 ref28 ref27 ref29 ref8 ref7 (ref1) 2020 ref9 ref4 ref3 ref6 ref5 |
References_xml | – ident: ref27 doi: 10.1109/TSTE.2011.2174260 – ident: ref13 doi: 10.1109/TSTE.2016.2646061 – year: 2006 ident: ref21 article-title: Wind farm configuration and energy efficiency studies series DC versus AC layouts – ident: ref23 doi: 10.1109/JESTPE.2015.2425536 – ident: ref22 doi: 10.1002/we.259 – ident: ref4 doi: 10.1109/TSTE.2020.2980970 – ident: ref29 doi: 10.1145/3209914.3234638 – start-page: 1544 volume-title: Proc. 7th Annu. IEEE Int. Conf. Cyber Technol. Automat. Control Intell. Syst. ident: ref31 article-title: Sensor optimal placement based on single parents genetic algorithm – ident: ref19 doi: 10.1109/TSTE.2018.2829929 – ident: ref3 doi: 10.1109/TEC.2015.2417130 – ident: ref17 doi: 10.1109/TPEL.2018.2834965 – ident: ref16 doi: 10.1109/TSTE.2018.2839712 – ident: ref6 doi: 10.1049/joe.2017.0528 – year: 2002 ident: ref25 article-title: Theory and application of the partheno-genetic algorithm – year: 2020 ident: ref1 article-title: Global wind report 2019 – ident: ref14 doi: 10.1109/TSTE.2016.2549602 – ident: ref18 doi: 10.1002/we.507 – ident: ref8 doi: 10.1049/cp.2016.0455 – ident: ref9 doi: 10.1049/cp.2012.1948 – ident: ref30 doi: 10.1016/j.asoc.2017.12.031 – ident: ref10 doi: 10.1109/TIA.2007.908182 – ident: ref15 doi: 10.1109/TPWRS.2019.2957312 – ident: ref28 doi: 10.1109/PESGM.2012.6344689 – ident: ref7 doi: 10.1109/TPWRD.2019.2960405 – year: 2020 ident: ref2 article-title: Worldwide capacity of offshore wind power 2009-2019 – ident: ref5 doi: 10.1109/TSTE.2019.2942541 – ident: ref11 doi: 10.1109/TEC.2006.889624 – ident: ref12 doi: 10.1109/ACEMP-OPTIM44294.2019.9007223 – ident: ref20 doi: 10.1049/iet-rpg.2017.0457 – ident: ref26 doi: 10.1016/j.renene.2011.08.053 – ident: ref24 doi: 10.1109/TIE.2013.2245619 |
SSID | ssj0014521 |
Score | 2.5593796 |
Snippet | DC series-parallel collection system has recently been widely discussed for integrating deep-sea OWFs because it saves the offshore HVDC stations. However,... |
SourceID | proquest crossref ieee |
SourceType | Aggregation Database Enrichment Source Index Database Publisher |
StartPage | 631 |
SubjectTerms | Algorithms Collection DC series-parallel collection system Deep sea environments Fluctuations Graph theory improved parthenogenetic algorithm Mathematical analysis Offshore Offshore energy sources offshore wind farm Operational problems Optimization Planning Power generation Topology Wind direction Wind farms Wind power wind power curtailment Wind power generation Wind speed Wind turbines Wiring |
Title | Collection System Topology for Deep-Sea Offshore Wind Farms Considering Wind Characteristics |
URI | https://ieeexplore.ieee.org/document/9511795 https://www.proquest.com/docview/2631963483 |
Volume | 37 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjR3LTuMwcASc2APvFeUlH7ggkTZ1HDs-okKFkIADRXBAivwYa6XdLYi2B_h6Jk5SAYtW3CLLdqyZ8XjeA3AouZIykHYipZeJUNIkxPPSBLPCBJ0GG1xl0L-8kue34uI-v1-A43kuDCLG4DPsVp_Rl-8f3awylfVIGiD6yRdhkRS3Oldr7jEQecyxokuTJ4WWunVJpro3OhuQIsj7pJ8SyVZmjndPUOyp8g8jjq_LcBUu23PVQSW_u7Op7brXTyUbv3vwNVhpxEx2UtPFOizgeAN-vCs-uAkP0WYQ0xpYXbecjeqOCS-MJFl2iviU3KBh1yFMftEf2R3p72xonv9OWNvnk3aqhwcfCz9vwe3wbDQ4T5peC4njuj9NrC6c59aiD4UT3BUOA_dYOK24545nVinUeabQK5-hMTzYTBC7sM57QTLGT1gaP45xG5gLacYz44MxOe0kDOZcKSetC_2-dqIDvRb8pWsKkVf9MP6UUSFJdUkIKyuElQ3COnA0X_FUF-H4z9zNCv7zeQ3oO7DXYrhsbumk5DIyIFFkO1-v2oVlXqU7xJizPViaPs9wn4SQqT2I1PcGHSfZpA |
linkProvider | IEEE |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjR1NTxQx9AXxoB4EReIiYA9cTJzdmU6nnR7JwmZVFg4ukYPJpB-vIUEXwu4e8Nf7pjOzQSTG26RpO817r6_v-wEcSK6kDKSdSOllIpQ0CfG8NMG8NEGnwQZXG_Qnp3J8Lj5fFBdr8HGVC4OIMfgM-_Vn9OX7a7esTWUDkgaIfoon8JTe_SJrsrVWPgNRxCwrujZFUmqpO6dkqgfT4yGpgjwjDZWItjZ03HuEYleVv1hxfF9GGzDpTtaElVz1lwvbd78eFG3836NvwstW0GSHDWW8gjWcvYYX98oPbsH3aDWIiQ2sqVzOpk3PhDtGsiw7QrxJvqJhZyHML-mP7Btp8Gxkbn_OWdfpk3Zqhod_ln5-A-ej4-lwnLTdFhLHdbZIrC6d59aiD6UT3JUOA_dYOq24547nVinURa7QK5-jMTzYXBDDsM57QVLGNqzPrmf4FpgLac5z44MxBe0kDBZcKSetC1mmnejBoAN_5dpS5HVHjB9VVElSXRHCqhphVYuwHnxYrbhpynD8Y-5WDf_VvBb0PdjtMFy193RecRlZkCjzncdXvYdn4-nkpDr5dPrlHTzndfJDjEDbhfXF7RL3SCRZ2P1Iib8Bn0rc7Q |
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=Collection+System+Topology+for+Deep-Sea+Offshore+Wind+Farms+Considering+Wind+Characteristics&rft.jtitle=IEEE+transactions+on+energy+conversion&rft.au=Fu%2C+Yang&rft.au=Liu%2C+Yang&rft.au=Huang%2C+Ling-ling&rft.au=Ying%2C+Feixiang&rft.date=2022-03-01&rft.issn=0885-8969&rft.eissn=1558-0059&rft.volume=37&rft.issue=1&rft.spage=631&rft.epage=642&rft_id=info:doi/10.1109%2FTEC.2021.3104040&rft.externalDBID=n%2Fa&rft.externalDocID=10_1109_TEC_2021_3104040 |
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 |