Optimization of maintenance scheduling for offshore wind turbines considering the wake effect of arbitrary wind direction
•The coupling of wake effect and maintenance status is firstly formulated.•A bi-objective maintenance scheduling model is proposed with the consideration of stochastic wind speed and direction.•A mixed integer second-order cone programming model is built and linearized to deal with the nonlinearity...
Uloženo v:
| Vydáno v: | Electric power systems research Ročník 184; s. 106298 |
|---|---|
| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Amsterdam
Elsevier B.V
01.07.2020
Elsevier Science Ltd |
| Témata: | |
| ISSN: | 0378-7796, 1873-2046 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | •The coupling of wake effect and maintenance status is firstly formulated.•A bi-objective maintenance scheduling model is proposed with the consideration of stochastic wind speed and direction.•A mixed integer second-order cone programming model is built and linearized to deal with the nonlinearity in the above problem.
An optimization model for offshore wind farm maintenance scheduling is presented, considering minimum maintenance costs and maximum power generation. For power generation, the wind speed at each tower site plays an important role that is impacted not only by the dynamically changing wake overlap area and the consequence of variation of wind direction but also by the relative position of the wake affected by the maintenance status. This paper combines the wake model with the maintenance status to accurately express the input wind speed of the wind turbine (WT) in each period. Because the optimization model includes complex dynamical coupling relationships and a number of nonlinear constraints, mixed integer second-order cone programming (MISOCP) are employed to address these issues. The MISOCP model is relaxed as a mixed integer linear programming (MILP) model to improve computational efficiency and the ε-constraint method is utilized to handle the multi-objective function. The proposed model and method are tested in a short-term maintenance case of an offshore wind farm. The numerical results demonstrate that the proposed approach can achieve sound economic benefits and provide comprehensive decision support. |
|---|---|
| AbstractList | •The coupling of wake effect and maintenance status is firstly formulated.•A bi-objective maintenance scheduling model is proposed with the consideration of stochastic wind speed and direction.•A mixed integer second-order cone programming model is built and linearized to deal with the nonlinearity in the above problem.
An optimization model for offshore wind farm maintenance scheduling is presented, considering minimum maintenance costs and maximum power generation. For power generation, the wind speed at each tower site plays an important role that is impacted not only by the dynamically changing wake overlap area and the consequence of variation of wind direction but also by the relative position of the wake affected by the maintenance status. This paper combines the wake model with the maintenance status to accurately express the input wind speed of the wind turbine (WT) in each period. Because the optimization model includes complex dynamical coupling relationships and a number of nonlinear constraints, mixed integer second-order cone programming (MISOCP) are employed to address these issues. The MISOCP model is relaxed as a mixed integer linear programming (MILP) model to improve computational efficiency and the ε-constraint method is utilized to handle the multi-objective function. The proposed model and method are tested in a short-term maintenance case of an offshore wind farm. The numerical results demonstrate that the proposed approach can achieve sound economic benefits and provide comprehensive decision support. An optimization model for offshore wind farm maintenance scheduling is presented, considering minimum maintenance costs and maximum power generation. For power generation, the wind speed at each tower site plays an important role that is impacted not only by the dynamically changing wake overlap area and the consequence of variation of wind direction but also by the relative position of the wake affected by the maintenance status. This paper combines the wake model with the maintenance status to accurately express the input wind speed of the wind turbine (WT) in each period. Because the optimization model includes complex dynamical coupling relationships and a number of nonlinear constraints, mixed integer second-order cone programming (MISOCP) are employed to address these issues. The MISOCP model is relaxed as a mixed integer linear programming (MILP) model to improve computational efficiency and the ε-constraint method is utilized to handle the multi-objective function. The proposed model and method are tested in a short-term maintenance case of an offshore wind farm. The numerical results demonstrate that the proposed approach can achieve sound economic benefits and provide comprehensive decision support. |
| ArticleNumber | 106298 |
| Author | Fu, Yang Chen, Quan Mi, Yang Ge, Xiaolin Chung, C.Y. |
| Author_xml | – sequence: 1 givenname: Xiaolin surname: Ge fullname: Ge, Xiaolin organization: Electric Power College, Shanghai University of Electric Power, Shanghai, China – sequence: 2 givenname: Quan orcidid: 0000-0002-4916-022X surname: Chen fullname: Chen, Quan organization: Electric Power College, Shanghai University of Electric Power, Shanghai, China – sequence: 3 givenname: Yang surname: Fu fullname: Fu, Yang email: mfudong@126.com organization: Electric Power College, Shanghai University of Electric Power, Shanghai, China – sequence: 4 givenname: C.Y. surname: Chung fullname: Chung, C.Y. organization: The Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada – sequence: 5 givenname: Yang orcidid: 0000-0001-5024-4968 surname: Mi fullname: Mi, Yang organization: Electric Power College, Shanghai University of Electric Power, Shanghai, China |
| BookMark | eNp9kE1PxCAQholZE9fVP-CpieeuFFqgiRdj_Eo28aJnQungsu7CClSjv15qPXnwBGHeZ4Z5jtHMeQcInVV4WeGKXWyWsI9hSTAZHxhpxQGaV4LTkuCazdAcUy5Kzlt2hI5j3GCMWcubOfp83Ce7s18qWe8Kb4qdsi6BU05DEfUa-mFr3UthfMhVE9c-QPFhXV-kIXTWQSy0d9H2EMZYWueqeoUCjAGdxoYqx1JQ4XPCehtyIQ87QYdGbSOc_p4L9Hx783R9X64e7x6ur1alpkSksu646JWpmr6mxmDR8aauWmOoMi3nuKZUs04LXudrYzpiBGMgFG44Jr1WQBfofOq7D_5tgJjkxg_B5ZGS1HVWxShpc0pMKR18jAGM1Db9SMl_t1tZYTmKlhs5ipajaDmJzij5g-6D3eWF_4cuJwjy6u8WgozaQpY--ZG9t__h3yzgnCA |
| CitedBy_id | crossref_primary_10_1002_we_2815 crossref_primary_10_1016_j_oceaneng_2022_113322 crossref_primary_10_1051_e3sconf_202337502005 crossref_primary_10_1016_j_cor_2025_107080 crossref_primary_10_1016_j_oceaneng_2022_112357 crossref_primary_10_1049_rpg2_12235 crossref_primary_10_1080_01605682_2022_2085066 crossref_primary_10_1177_0309524X221122501 crossref_primary_10_3390_su16198352 crossref_primary_10_3390_en14144291 crossref_primary_10_3390_su132112262 crossref_primary_10_1016_j_procs_2022_01_373 crossref_primary_10_1088_1742_6596_2362_1_012041 crossref_primary_10_1016_j_rser_2021_110886 crossref_primary_10_1016_j_apenergy_2024_124976 crossref_primary_10_1016_j_renene_2024_120525 crossref_primary_10_1109_ACCESS_2022_3172697 crossref_primary_10_1016_j_segan_2023_101250 crossref_primary_10_1002_aisy_202400884 crossref_primary_10_1016_j_epsr_2021_107647 crossref_primary_10_1002_er_7425 crossref_primary_10_12716_1001_19_02_19 |
| Cites_doi | 10.1080/22348972.2015.1109793 10.1109/TPWRS.2015.2452920 10.1016/j.renene.2011.08.053 10.1080/00207721.2019.1598511 10.1109/TSTE.2017.2694882 10.1016/j.cor.2018.05.019 10.1109/TCST.2013.2259235 10.1109/TPWRS.2013.2295113 10.1109/TPWRS.2016.2593501 10.1109/TLA.2014.6894001 10.1109/TSTE.2011.2174260 10.1016/j.energy.2011.03.020 10.1109/TIA.2013.2283219 10.1109/TEC.2006.889623 10.1016/j.oceaneng.2015.04.040 10.1016/j.egypro.2013.07.171 10.1016/j.ejor.2016.05.059 10.1049/iet-rpg.2015.0198 10.1109/TSTE.2016.2585883 10.4028/www.scientific.net/AMR.1039.294 10.1016/j.epsr.2011.04.008 10.1109/TPWRS.2017.2666722 10.1109/TSTE.2016.2549602 10.1016/j.renene.2004.03.011 10.1109/TIA.2017.2737399 10.1109/TSTE.2015.2494587 10.1016/j.scs.2015.11.007 10.1002/we.2002 10.1049/iet-rpg.2017.0575 10.1109/TSTE.2017.2695661 10.1109/TSTE.2015.2429912 10.1109/TSTE.2012.2225454 10.1016/j.ymssp.2017.10.035 10.1287/moor.26.2.193.10561 10.1109/TPWRS.2007.894843 10.1002/we.1625 10.1016/j.jlp.2019.103949 10.1049/iet-cta.2018.6199 10.1016/j.renene.2019.07.133 10.1109/TPWRS.2014.2304539 |
| ContentType | Journal Article |
| Copyright | 2020 Copyright Elsevier Science Ltd. Jul 2020 |
| Copyright_xml | – notice: 2020 – notice: Copyright Elsevier Science Ltd. Jul 2020 |
| DBID | AAYXX CITATION 7SP 8FD FR3 KR7 L7M |
| DOI | 10.1016/j.epsr.2020.106298 |
| DatabaseName | CrossRef Electronics & Communications 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 Advanced Technologies Database with Aerospace Electronics & Communications Abstracts |
| DatabaseTitleList | Civil Engineering Abstracts |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1873-2046 |
| ExternalDocumentID | 10_1016_j_epsr_2020_106298 S0378779620301048 |
| GroupedDBID | --K --M -~X .~1 0R~ 1B1 1~. 1~5 29G 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 9JN AABNK AACTN AAEDT AAEDW AAHCO AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AARJD AAXUO ABFNM ABMAC ABXDB ABYKQ ACAZW ACDAQ ACGFS ACIWK ACNNM ACRLP ADBBV ADEZE ADHUB ADMUD ADTZH AEBSH AECPX AEKER AENEX AFKWA AFTJW AGHFR AGUBO AGYEJ AHHHB AHIDL AHJVU AI. AIEXJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ ARUGR ASPBG AVWKF AXJTR AZFZN BELTK BJAXD BKOJK BLXMC CS3 DU5 E.L EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q GBLVA HVGLF HZ~ IHE J1W JARJE JJJVA K-O KOM LY6 LY7 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 R2- RIG ROL RPZ SAC SDF SDG SES SET SEW SPC SPCBC SSR SST SSW SSZ T5K VH1 WUQ ZMT ~G- 9DU AATTM AAXKI AAYWO AAYXX ABJNI ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP CITATION EFKBS ~HD 7SP 8FD FR3 KR7 L7M |
| ID | FETCH-LOGICAL-c328t-4b78daf15d43ff08b75419ff3af9770433c6bc8740435fb2f866e8a05702dcae3 |
| ISICitedReferencesCount | 23 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000525770200017&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0378-7796 |
| IngestDate | Sun Nov 09 06:33:44 EST 2025 Sat Nov 29 07:13:43 EST 2025 Tue Nov 18 22:31:41 EST 2025 Fri Feb 23 02:48:03 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Maintenance Mixed integer linear programming Multi-objective Offshore wind farm Wake effect |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c328t-4b78daf15d43ff08b75419ff3af9770433c6bc8740435fb2f866e8a05702dcae3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0001-5024-4968 0000-0002-4916-022X |
| PQID | 2446296329 |
| PQPubID | 2047565 |
| ParticipantIDs | proquest_journals_2446296329 crossref_citationtrail_10_1016_j_epsr_2020_106298 crossref_primary_10_1016_j_epsr_2020_106298 elsevier_sciencedirect_doi_10_1016_j_epsr_2020_106298 |
| PublicationCentury | 2000 |
| PublicationDate | July 2020 2020-07-00 20200701 |
| PublicationDateYYYYMMDD | 2020-07-01 |
| PublicationDate_xml | – month: 07 year: 2020 text: July 2020 |
| PublicationDecade | 2020 |
| PublicationPlace | Amsterdam |
| PublicationPlace_xml | – name: Amsterdam |
| PublicationTitle | Electric power systems research |
| PublicationYear | 2020 |
| Publisher | Elsevier B.V Elsevier Science Ltd |
| Publisher_xml | – name: Elsevier B.V – name: Elsevier Science Ltd |
| References | Nilsson, Bertling (bib0004) 2007; 22 Mavrotas (bib0030) 2009; 213 Madjidian, Rantzer (bib0042) 2011; 44 Hofmann, Sperstad (bib0002) 2013; 35 Fonseca, Farinha, Barbosa (bib0003) 2014; 12 Ferreira, Borges, Pereira (bib0031) 2014; 29 Wu, Shahidehpour, Li (bib0045) 2007; 22 Kim, Singh, Sprintson (bib0015) 2012; 3 Hwang, Jeon, Kim (bib0016) 2015; 5 Besnard, Fischer, Tjernberg (bib0040) 2013; 4 Gaumond, Réthoré, Ott, Andrea (bib0041) 2014; 17 Chandra, Djamila, Dylan, Magnus, Iver (bib0006) 2017; 256 Zhong, Pantelous, Beer, Zhou (bib0024) 2018; 104 Sales-Setién, Peñarrocha-Alós (bib0011) 2020; 146 Mikel, Oriol, Andreas, Joan (bib0014) 2011; 36 Aksoy, Toprak, Aytek, Ünal (bib0043) 2004; 29 Ji, Wu, Zhang (bib0012) 2016; 10 Odgaard, Stoustrup, Kinnaert (bib0007) 2013; 21 Feijoo, Villanueva (bib0018) 2017; 20 Shin, Kim (bib0022) 2017; 32 Ding, Liu, Yuan, Bie, Zeng (bib0027) 2016; 7 Fan, Ren, Feng, Zhu, Liu, Wang (bib0039) 2019; 62 Wu, Su, Su, Wu, Tan (bib0034) 2017; 53 Irawan, Eskandarpour, Ouelhadj, Jones (bib0038) 2019 Sales-Setién, Peñarrocha-Alós (bib0010) 2019; 13 Zhang (bib0037) 2014; 1039 Aharon, Arkadi (bib0033) 2001; 26 Odgaard, Stoustrup (bib0008) 2013 Abbes, Allagui (bib0020) 2016; 25 Hou, Hu, Soltani, Chen (bib0023) 2015; 6 Schrotenboer, Michiel, Jargalsaikhan, Roodbergen (bib0005) 2018; 98 Huang, Fu, Mi, Cao, Wang (bib0001) 2017; 8 Yildirim, Gebraeel, Sun (bib0036) 2017; 32 Yang, Xie, Tai, Chai (bib0019) 2016; 31 Wu, Lee, Chen, Hsu, Tseng (bib0021) 2014; 50 álvaro, Edgardo, Ismael, Julio (bib0029) 2011; 81 Dar, Kar, Sahni, Chow (bib0025) 2017; 8 Byon, Perez, Ding (bib0013) 2011; 87 Nikoobakht, Aghaei, Niknam, Vahidinasab, Farahmand, Korpås (bib0026) 2018; 12 González-Longatt, Wall, Terzija (bib0017) 2012; 39 Sales-Setién, Peñarrocha-Alós (bib0009) 2019; 50 Shu, Jirutitijaroen, Leite da Silva, Singh (bib0044) 2014; 29 Chen, Dong, Meng, Luo, Xu, Wong (bib0028) 2016; 7 Xu, Yi, Sun, Lan, Sun (bib0032) 2017; 8 Dalgic, Lazakis, Dinwoodie, McMillan, Revie (bib0035) 2015; 101 Byon (10.1016/j.epsr.2020.106298_bib0013) 2011; 87 Wu (10.1016/j.epsr.2020.106298_bib0021) 2014; 50 Dalgic (10.1016/j.epsr.2020.106298_bib0035) 2015; 101 Huang (10.1016/j.epsr.2020.106298_bib0001) 2017; 8 Shin (10.1016/j.epsr.2020.106298_bib0022) 2017; 32 Ji (10.1016/j.epsr.2020.106298_bib0012) 2016; 10 Sales-Setién (10.1016/j.epsr.2020.106298_bib0011) 2020; 146 Chen (10.1016/j.epsr.2020.106298_bib0028) 2016; 7 Hou (10.1016/j.epsr.2020.106298_bib0023) 2015; 6 Xu (10.1016/j.epsr.2020.106298_bib0032) 2017; 8 Mikel (10.1016/j.epsr.2020.106298_bib0014) 2011; 36 Gaumond (10.1016/j.epsr.2020.106298_bib0041) 2014; 17 Aksoy (10.1016/j.epsr.2020.106298_bib0043) 2004; 29 Kim (10.1016/j.epsr.2020.106298_bib0015) 2012; 3 Abbes (10.1016/j.epsr.2020.106298_bib0020) 2016; 25 Fan (10.1016/j.epsr.2020.106298_bib0039) 2019; 62 Sales-Setién (10.1016/j.epsr.2020.106298_bib0010) 2019; 13 Zhong (10.1016/j.epsr.2020.106298_bib0024) 2018; 104 Aharon (10.1016/j.epsr.2020.106298_bib0033) 2001; 26 Nilsson (10.1016/j.epsr.2020.106298_bib0004) 2007; 22 Madjidian (10.1016/j.epsr.2020.106298_bib0042) 2011; 44 Yildirim (10.1016/j.epsr.2020.106298_bib0036) 2017; 32 álvaro (10.1016/j.epsr.2020.106298_bib0029) 2011; 81 Odgaard (10.1016/j.epsr.2020.106298_bib0007) 2013; 21 Sales-Setién (10.1016/j.epsr.2020.106298_bib0009) 2019; 50 Dar (10.1016/j.epsr.2020.106298_bib0025) 2017; 8 Zhang (10.1016/j.epsr.2020.106298_bib0037) 2014; 1039 Besnard (10.1016/j.epsr.2020.106298_bib0040) 2013; 4 Wu (10.1016/j.epsr.2020.106298_bib0045) 2007; 22 Nikoobakht (10.1016/j.epsr.2020.106298_bib0026) 2018; 12 Wu (10.1016/j.epsr.2020.106298_bib0034) 2017; 53 Yang (10.1016/j.epsr.2020.106298_bib0019) 2016; 31 Irawan (10.1016/j.epsr.2020.106298_bib0038) 2019 Odgaard (10.1016/j.epsr.2020.106298_bib0008) 2013 Mavrotas (10.1016/j.epsr.2020.106298_bib0030) 2009; 213 Ding (10.1016/j.epsr.2020.106298_bib0027) 2016; 7 González-Longatt (10.1016/j.epsr.2020.106298_bib0017) 2012; 39 Hofmann (10.1016/j.epsr.2020.106298_bib0002) 2013; 35 Shu (10.1016/j.epsr.2020.106298_bib0044) 2014; 29 Chandra (10.1016/j.epsr.2020.106298_bib0006) 2017; 256 Feijoo (10.1016/j.epsr.2020.106298_bib0018) 2017; 20 Ferreira (10.1016/j.epsr.2020.106298_bib0031) 2014; 29 Fonseca (10.1016/j.epsr.2020.106298_bib0003) 2014; 12 Schrotenboer (10.1016/j.epsr.2020.106298_bib0005) 2018; 98 Hwang (10.1016/j.epsr.2020.106298_bib0016) 2015; 5 |
| References_xml | – volume: 12 start-page: 1062 year: 2014 end-page: 1070 ident: bib0003 article-title: Maintenance planning in wind farms with allocation of teams using genetic algorithms publication-title: IEEE Lat. Am. Trans. – volume: 39 start-page: 329 year: 2012 end-page: 338 ident: bib0017 article-title: Wake effect in wind farm performance: steady-state and dynamic behavior publication-title: Renew Energy – volume: 7 start-page: 301 year: 2016 end-page: 311 ident: bib0027 article-title: A two-stage robust reactive power optimization considering uncertain wind power integration in active distribution networks publication-title: IEEE Trans. Sust. Energy – volume: 29 start-page: 2447 year: 2014 end-page: 2459 ident: bib0031 article-title: A flexible mixed-integer linear programming approach to the AC optimal power flow in distribution systems publication-title: IEEE Trans. Power Syst. – volume: 101 start-page: 211 year: 2015 end-page: 226 ident: bib0035 article-title: Advanced logistics planning for offshore wind farm operation and maintenance activities publication-title: Ocean Eng – volume: 13 start-page: 3006 year: 2019 end-page: 3018 ident: bib0010 article-title: Markovian jump system approach for the estimation and adaptive diagnosis of decreased power generation in wind farms publication-title: IET Control Theory A – volume: 6 start-page: 1272 year: 2015 end-page: 1282 ident: bib0023 article-title: Optimized placement of wind turbines in large-scale offshore wind farm using particle swarm optimization algorithm publication-title: IEEE Trans. Sust. Energy – volume: 87 start-page: 1093 year: 2011 end-page: 1117 ident: bib0013 article-title: Simulation of wind farm operations and maintenance using discrete event system specification publication-title: SIMUL.-Trans. Soc. Mod. Sim. – volume: 26 start-page: 193 year: 2001 end-page: 205 ident: bib0033 article-title: On polyhedral approximations of the second-order cone publication-title: Math. Oper. Res. – volume: 32 start-page: 2041 year: 2017 end-page: 2048 ident: bib0022 article-title: Optimal design for offshore wind farm considering inner grid layout and offshore substation location publication-title: IEEE Trans. Power Syst. – volume: 29 start-page: 1692 year: 2014 end-page: 1700 ident: bib0044 article-title: Accelerated state evaluation and latin hypercube sequential sampling for composite system reliability assessment publication-title: IEEE Trans. Power Syst. – volume: 98 start-page: 185 year: 2018 end-page: 197 ident: bib0005 article-title: Coordinating technician allocation and maintenance routing for offshore wind farms publication-title: Comput. Oper. Res. – volume: 213 start-page: 455 year: 2009 end-page: 465 ident: bib0030 article-title: Effective implementation of the ε-constraint method in multi-objective mathematical programming problems publication-title: Appl. Math. Comput. – volume: 10 start-page: 634 year: 2016 end-page: 641 ident: bib0012 article-title: Robust generation maintenance scheduling considering wind power and forced outages publication-title: IET Renew. Power Gen. – volume: 1039 start-page: 294 year: 2014 end-page: 301 ident: bib0037 article-title: Scheduling and routing optimization of maintenance fleet for offshore wind farms using Duo-ACO publication-title: Adv. Mater. Res. – volume: 3 start-page: 274 year: 2012 end-page: 282 ident: bib0015 article-title: Simulation and estimation of reliability in a wind farm considering the wake effect publication-title: IEEE Trans. Sust. Energy – volume: 12 start-page: 691 year: 2018 end-page: 701 ident: bib0026 article-title: Towards robust OPF solution strategy for the future AC/DC grids: case of VSC-HVDC-connected offshore wind farms publication-title: IET Renew. Power Gen. – volume: 81 start-page: 1767 year: 2011 end-page: 1777 ident: bib0029 article-title: Optimal operation of a pumped-storage hydro plant that compensates the imbalances of a wind power producer publication-title: Electr Pow. Syst. Res. – volume: 8 start-page: 1548 year: 2017 end-page: 1559 ident: bib0032 article-title: Stochastic optimal scheduling based on scenario analysis for wind farms publication-title: IEEE Trans. Sust. Energy – volume: 25 start-page: 82 year: 2016 end-page: 89 ident: bib0020 article-title: Centralized control strategy for energy maximization of large array wind turbines publication-title: Sustain. Cities Soc. – volume: 53 start-page: 5139 year: 2017 end-page: 5149 ident: bib0034 article-title: Economics- and reliability-based design for an offshore wind Farm publication-title: IEEE Trans. Ind. Appl. – volume: 22 start-page: 223 year: 2007 end-page: 229 ident: bib0004 article-title: Maintenance management of wind power systems using condition monitoring systems—life cycle cost analysis for two case studies publication-title: IEEE Trans. Energy Conver. – volume: 4 start-page: 443 year: 2013 end-page: 450 ident: bib0040 article-title: A model for the optimization of the maintenance support organization for offshore wind farms publication-title: IEEE Trans. Sust. Energy – volume: 31 start-page: 2135 year: 2016 end-page: 2143 ident: bib0019 article-title: Wind farm layout optimization and its application to power system reliability analysis publication-title: IEEE Trans. Power Syst. – volume: 256 start-page: 76 year: 2017 end-page: 89 ident: bib0006 article-title: Optimisation of maintenance routing and scheduling for offshore wind farms publication-title: Eur. J. Oper. Res. – volume: 8 start-page: 1592 year: 2017 end-page: 1600 ident: bib0001 article-title: A Markov-chain-based availability model of offshore wind turbine considering accessibility problems publication-title: IEEE Trans. Sust. Energy – volume: 36 start-page: 3272 year: 2011 end-page: 3281 ident: bib0014 article-title: Analysis of a multi turbine offshore wind farm connected to a single large power converter operated with variable frequency publication-title: Energy – volume: 50 start-page: 2071 year: 2014 end-page: 2080 ident: bib0021 article-title: Optimization of the wind turbine layout and transmission system planning for a large-scale offshore wind farm by AI technology publication-title: IEEE Trans. Ind. Appl. – volume: 17 start-page: 1169 year: 2014 end-page: 1178 ident: bib0041 article-title: Evaluation of the wind direction uncertainty and its impact on wake modeling at the Horns Rev offshore wind farm publication-title: Wind Energy – volume: 50 start-page: 1252 year: 2019 end-page: 1274 ident: bib0009 article-title: Multiobjective performance-based designs in fault estimation and isolation for discrete-time systems and its application to wind turbines publication-title: Int. J. Syst. Sci. – volume: 32 start-page: 4319 year: 2017 end-page: 4328 ident: bib0036 article-title: Integrated predictive analytics and optimization for opportunistic maintenance and operations in wind farms publication-title: IEEE Trans. Power Syst. – volume: 146 start-page: 1746 year: 2020 end-page: 1765 ident: bib0011 article-title: Robust estimation and diagnosis of wind turbine pitch misalignments at a wind farm level publication-title: Renew. Energy – volume: 5 start-page: 74 year: 2015 end-page: 77 ident: bib0016 article-title: Modelling and simulation of the wake effect in a wind farm publication-title: J. Int. Council Electr. Eng. – year: 2019 ident: bib0038 article-title: Simulation-based optimisation for stochastic maintenance routing in an offshore wind farm publication-title: Eur. J. Oper. Res. – volume: 35 start-page: 177 year: 2013 end-page: 186 ident: bib0002 article-title: NOWIcob – A tool for reducing the maintenance costs of offshore wind farms publication-title: Energy Procedia – volume: 8 start-page: 104 year: 2017 end-page: 116 ident: bib0025 article-title: Wind farm power optimization using yaw angle control publication-title: IEEE Trans. Sust. Energy – volume: 22 start-page: 800 year: 2007 end-page: 811 ident: bib0045 article-title: Stochastic security-constrained unit commitment publication-title: IEEE Trans. Power Syst. – volume: 29 start-page: 2111 year: 2004 end-page: 2131 ident: bib0043 article-title: Stochastic generation of hourly mean wind speed data publication-title: Renew Energy – volume: 21 start-page: 1168 year: 2013 end-page: 1182 ident: bib0007 article-title: Fault-tolerant control of wind turbines: a benchmark model publication-title: IEEE Trans. Contr. Syst. T. – volume: 20 start-page: 221 year: 2017 end-page: 231 ident: bib0018 article-title: Contributions to wind farm power estimation considering wind direction-dependent wake effects: wind farm power estimation publication-title: Wind Energy – volume: 7 start-page: 1398 year: 2016 end-page: 1407 ident: bib0028 article-title: Collector system layout optimization framework for large-scale offshore wind farms publication-title: IEEE Trans. Sust. Energy – volume: 62 year: 2019 ident: bib0039 article-title: A hybrid heuristic optimization of maintenance routing and scheduling for offshore wind farms publication-title: J. Loss Prevent. Proc. – start-page: 412 year: 2013 end-page: 417 ident: bib0008 article-title: Fault tolerant wind farm control — a benchmark model publication-title: 2013 IEEE International Conference on Control Applications (CCA) – volume: 104 start-page: 347 year: 2018 end-page: 369 ident: bib0024 article-title: Constrained non-linear multi-objective optimisation of preventive maintenance scheduling for offshore wind farms publication-title: Mech. Syst. Signal Pr. – volume: 44 start-page: 4921 year: 2011 end-page: 4926 ident: bib0042 article-title: A stationary turbine interaction model for control of wind farms publication-title: IFAC Proceedings – volume: 5 start-page: 74 issue: 1 year: 2015 ident: 10.1016/j.epsr.2020.106298_bib0016 article-title: Modelling and simulation of the wake effect in a wind farm publication-title: J. Int. Council Electr. Eng. doi: 10.1080/22348972.2015.1109793 – volume: 31 start-page: 2135 issue: 3 year: 2016 ident: 10.1016/j.epsr.2020.106298_bib0019 article-title: Wind farm layout optimization and its application to power system reliability analysis publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2015.2452920 – volume: 39 start-page: 329 issue: 1 year: 2012 ident: 10.1016/j.epsr.2020.106298_bib0017 article-title: Wake effect in wind farm performance: steady-state and dynamic behavior publication-title: Renew Energy doi: 10.1016/j.renene.2011.08.053 – volume: 50 start-page: 1252 issue: 6 year: 2019 ident: 10.1016/j.epsr.2020.106298_bib0009 article-title: Multiobjective performance-based designs in fault estimation and isolation for discrete-time systems and its application to wind turbines publication-title: Int. J. Syst. Sci. doi: 10.1080/00207721.2019.1598511 – volume: 8 start-page: 1548 issue: 4 year: 2017 ident: 10.1016/j.epsr.2020.106298_bib0032 article-title: Stochastic optimal scheduling based on scenario analysis for wind farms publication-title: IEEE Trans. Sust. Energy doi: 10.1109/TSTE.2017.2694882 – volume: 98 start-page: 185 year: 2018 ident: 10.1016/j.epsr.2020.106298_bib0005 article-title: Coordinating technician allocation and maintenance routing for offshore wind farms publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2018.05.019 – volume: 21 start-page: 1168 issue: 4 year: 2013 ident: 10.1016/j.epsr.2020.106298_bib0007 article-title: Fault-tolerant control of wind turbines: a benchmark model publication-title: IEEE Trans. Contr. Syst. T. doi: 10.1109/TCST.2013.2259235 – volume: 29 start-page: 1692 issue: 4 year: 2014 ident: 10.1016/j.epsr.2020.106298_bib0044 article-title: Accelerated state evaluation and latin hypercube sequential sampling for composite system reliability assessment publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2013.2295113 – volume: 32 start-page: 2041 issue: 3 year: 2017 ident: 10.1016/j.epsr.2020.106298_bib0022 article-title: Optimal design for offshore wind farm considering inner grid layout and offshore substation location publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2016.2593501 – volume: 12 start-page: 1062 issue: 6 year: 2014 ident: 10.1016/j.epsr.2020.106298_bib0003 article-title: Maintenance planning in wind farms with allocation of teams using genetic algorithms publication-title: IEEE Lat. Am. Trans. doi: 10.1109/TLA.2014.6894001 – volume: 3 start-page: 274 issue: 2 year: 2012 ident: 10.1016/j.epsr.2020.106298_bib0015 article-title: Simulation and estimation of reliability in a wind farm considering the wake effect publication-title: IEEE Trans. Sust. Energy doi: 10.1109/TSTE.2011.2174260 – year: 2019 ident: 10.1016/j.epsr.2020.106298_bib0038 article-title: Simulation-based optimisation for stochastic maintenance routing in an offshore wind farm publication-title: Eur. J. Oper. Res. – volume: 36 start-page: 3272 issue: 5 year: 2011 ident: 10.1016/j.epsr.2020.106298_bib0014 article-title: Analysis of a multi turbine offshore wind farm connected to a single large power converter operated with variable frequency publication-title: Energy doi: 10.1016/j.energy.2011.03.020 – volume: 50 start-page: 2071 issue: 3 year: 2014 ident: 10.1016/j.epsr.2020.106298_bib0021 article-title: Optimization of the wind turbine layout and transmission system planning for a large-scale offshore wind farm by AI technology publication-title: IEEE Trans. Ind. Appl. doi: 10.1109/TIA.2013.2283219 – volume: 87 start-page: 1093 issue: 12 year: 2011 ident: 10.1016/j.epsr.2020.106298_bib0013 article-title: Simulation of wind farm operations and maintenance using discrete event system specification publication-title: SIMUL.-Trans. Soc. Mod. Sim. – volume: 22 start-page: 223 issue: 1 year: 2007 ident: 10.1016/j.epsr.2020.106298_bib0004 article-title: Maintenance management of wind power systems using condition monitoring systems—life cycle cost analysis for two case studies publication-title: IEEE Trans. Energy Conver. doi: 10.1109/TEC.2006.889623 – volume: 101 start-page: 211 year: 2015 ident: 10.1016/j.epsr.2020.106298_bib0035 article-title: Advanced logistics planning for offshore wind farm operation and maintenance activities publication-title: Ocean Eng doi: 10.1016/j.oceaneng.2015.04.040 – volume: 35 start-page: 177 year: 2013 ident: 10.1016/j.epsr.2020.106298_bib0002 article-title: NOWIcob – A tool for reducing the maintenance costs of offshore wind farms publication-title: Energy Procedia doi: 10.1016/j.egypro.2013.07.171 – volume: 256 start-page: 76 issue: 1 year: 2017 ident: 10.1016/j.epsr.2020.106298_bib0006 article-title: Optimisation of maintenance routing and scheduling for offshore wind farms publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2016.05.059 – volume: 10 start-page: 634 issue: 5 year: 2016 ident: 10.1016/j.epsr.2020.106298_bib0012 article-title: Robust generation maintenance scheduling considering wind power and forced outages publication-title: IET Renew. Power Gen. doi: 10.1049/iet-rpg.2015.0198 – volume: 8 start-page: 104 issue: 1 year: 2017 ident: 10.1016/j.epsr.2020.106298_bib0025 article-title: Wind farm power optimization using yaw angle control publication-title: IEEE Trans. Sust. Energy doi: 10.1109/TSTE.2016.2585883 – volume: 1039 start-page: 294 year: 2014 ident: 10.1016/j.epsr.2020.106298_bib0037 article-title: Scheduling and routing optimization of maintenance fleet for offshore wind farms using Duo-ACO publication-title: Adv. Mater. Res. doi: 10.4028/www.scientific.net/AMR.1039.294 – volume: 81 start-page: 1767 issue: 9 year: 2011 ident: 10.1016/j.epsr.2020.106298_bib0029 article-title: Optimal operation of a pumped-storage hydro plant that compensates the imbalances of a wind power producer publication-title: Electr Pow. Syst. Res. doi: 10.1016/j.epsr.2011.04.008 – volume: 32 start-page: 4319 issue: 6 year: 2017 ident: 10.1016/j.epsr.2020.106298_bib0036 article-title: Integrated predictive analytics and optimization for opportunistic maintenance and operations in wind farms publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2017.2666722 – volume: 44 start-page: 4921 issue: 1 year: 2011 ident: 10.1016/j.epsr.2020.106298_bib0042 article-title: A stationary turbine interaction model for control of wind farms publication-title: IFAC Proceedings – volume: 7 start-page: 1398 issue: 4 year: 2016 ident: 10.1016/j.epsr.2020.106298_bib0028 article-title: Collector system layout optimization framework for large-scale offshore wind farms publication-title: IEEE Trans. Sust. Energy doi: 10.1109/TSTE.2016.2549602 – volume: 29 start-page: 2111 issue: 14 year: 2004 ident: 10.1016/j.epsr.2020.106298_bib0043 article-title: Stochastic generation of hourly mean wind speed data publication-title: Renew Energy doi: 10.1016/j.renene.2004.03.011 – volume: 53 start-page: 5139 issue: 6 year: 2017 ident: 10.1016/j.epsr.2020.106298_bib0034 article-title: Economics- and reliability-based design for an offshore wind Farm publication-title: IEEE Trans. Ind. Appl. doi: 10.1109/TIA.2017.2737399 – volume: 7 start-page: 301 issue: 1 year: 2016 ident: 10.1016/j.epsr.2020.106298_bib0027 article-title: A two-stage robust reactive power optimization considering uncertain wind power integration in active distribution networks publication-title: IEEE Trans. Sust. Energy doi: 10.1109/TSTE.2015.2494587 – volume: 25 start-page: 82 year: 2016 ident: 10.1016/j.epsr.2020.106298_bib0020 article-title: Centralized control strategy for energy maximization of large array wind turbines publication-title: Sustain. Cities Soc. doi: 10.1016/j.scs.2015.11.007 – volume: 20 start-page: 221 issue: 2 year: 2017 ident: 10.1016/j.epsr.2020.106298_bib0018 article-title: Contributions to wind farm power estimation considering wind direction-dependent wake effects: wind farm power estimation publication-title: Wind Energy doi: 10.1002/we.2002 – volume: 12 start-page: 691 issue: 6 year: 2018 ident: 10.1016/j.epsr.2020.106298_bib0026 article-title: Towards robust OPF solution strategy for the future AC/DC grids: case of VSC-HVDC-connected offshore wind farms publication-title: IET Renew. Power Gen. doi: 10.1049/iet-rpg.2017.0575 – volume: 8 start-page: 1592 issue: 4 year: 2017 ident: 10.1016/j.epsr.2020.106298_bib0001 article-title: A Markov-chain-based availability model of offshore wind turbine considering accessibility problems publication-title: IEEE Trans. Sust. Energy doi: 10.1109/TSTE.2017.2695661 – volume: 6 start-page: 1272 issue: 4 year: 2015 ident: 10.1016/j.epsr.2020.106298_bib0023 article-title: Optimized placement of wind turbines in large-scale offshore wind farm using particle swarm optimization algorithm publication-title: IEEE Trans. Sust. Energy doi: 10.1109/TSTE.2015.2429912 – volume: 4 start-page: 443 issue: 2 year: 2013 ident: 10.1016/j.epsr.2020.106298_bib0040 article-title: A model for the optimization of the maintenance support organization for offshore wind farms publication-title: IEEE Trans. Sust. Energy doi: 10.1109/TSTE.2012.2225454 – volume: 104 start-page: 347 year: 2018 ident: 10.1016/j.epsr.2020.106298_bib0024 article-title: Constrained non-linear multi-objective optimisation of preventive maintenance scheduling for offshore wind farms publication-title: Mech. Syst. Signal Pr. doi: 10.1016/j.ymssp.2017.10.035 – volume: 26 start-page: 193 issue: 2 year: 2001 ident: 10.1016/j.epsr.2020.106298_bib0033 article-title: On polyhedral approximations of the second-order cone publication-title: Math. Oper. Res. doi: 10.1287/moor.26.2.193.10561 – start-page: 412 year: 2013 ident: 10.1016/j.epsr.2020.106298_bib0008 article-title: Fault tolerant wind farm control — a benchmark model – volume: 22 start-page: 800 issue: 2 year: 2007 ident: 10.1016/j.epsr.2020.106298_bib0045 article-title: Stochastic security-constrained unit commitment publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2007.894843 – volume: 17 start-page: 1169 issue: 8 year: 2014 ident: 10.1016/j.epsr.2020.106298_bib0041 article-title: Evaluation of the wind direction uncertainty and its impact on wake modeling at the Horns Rev offshore wind farm publication-title: Wind Energy doi: 10.1002/we.1625 – volume: 62 year: 2019 ident: 10.1016/j.epsr.2020.106298_bib0039 article-title: A hybrid heuristic optimization of maintenance routing and scheduling for offshore wind farms publication-title: J. Loss Prevent. Proc. doi: 10.1016/j.jlp.2019.103949 – volume: 213 start-page: 455 issue: 2 year: 2009 ident: 10.1016/j.epsr.2020.106298_bib0030 article-title: Effective implementation of the ε-constraint method in multi-objective mathematical programming problems publication-title: Appl. Math. Comput. – volume: 13 start-page: 3006 issue: 18 year: 2019 ident: 10.1016/j.epsr.2020.106298_bib0010 article-title: Markovian jump system approach for the estimation and adaptive diagnosis of decreased power generation in wind farms publication-title: IET Control Theory A doi: 10.1049/iet-cta.2018.6199 – volume: 146 start-page: 1746 year: 2020 ident: 10.1016/j.epsr.2020.106298_bib0011 article-title: Robust estimation and diagnosis of wind turbine pitch misalignments at a wind farm level publication-title: Renew. Energy doi: 10.1016/j.renene.2019.07.133 – volume: 29 start-page: 2447 issue: 5 year: 2014 ident: 10.1016/j.epsr.2020.106298_bib0031 article-title: A flexible mixed-integer linear programming approach to the AC optimal power flow in distribution systems publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2014.2304539 |
| SSID | ssj0006975 |
| Score | 2.4042964 |
| Snippet | •The coupling of wake effect and maintenance status is firstly formulated.•A bi-objective maintenance scheduling model is proposed with the consideration of... An optimization model for offshore wind farm maintenance scheduling is presented, considering minimum maintenance costs and maximum power generation. For power... |
| SourceID | proquest crossref elsevier |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 106298 |
| SubjectTerms | Electric power generation Electricity generation Integer programming Linear programming Maintenance Maintenance costs Maintenance management Maximum power Mixed integer Mixed integer linear programming Multi-objective Multiple objective analysis Offshore energy sources Offshore wind farm Optimization Scheduling Turbines Wake effect Wind direction Wind effects Wind power Wind power generation Wind speed Wind turbines |
| Title | Optimization of maintenance scheduling for offshore wind turbines considering the wake effect of arbitrary wind direction |
| URI | https://dx.doi.org/10.1016/j.epsr.2020.106298 https://www.proquest.com/docview/2446296329 |
| Volume | 184 |
| WOSCitedRecordID | wos000525770200017&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: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 1873-2046 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0006975 issn: 0378-7796 databaseCode: AIEXJ dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1LbxMxELZC2gMcEFAQhYJ84BZtlfW-j1XVChAqRSpVerK8XlukDZsoj7b8C34yM37sblO1ag9cVtFmbXkzX-ZhfzNDyKdUFRVLZRVUYF2CWA9VUIZJGagI_GeBra1Mhvfpt-zoKB-NiuNe76_PhbmcZHWdX18Xs_8qargHwsbU2UeIu5kUbsBnEDpcQexwfZDgv4MS-O2yK83pucCSELVJDYBQFkzLxLMnp1ovfk3nanA1Rh7lal4iCR6Z6KaJp8-kuhIXnvhhaAPwmEnWt8OsUfTi9Zv8prvOWA5m2IXN1YvGE4rO5hmyfsx26mgssHVQyzSwqvDHqkXu4crYCuHsrG1jZdXU_u7ZbnfvAgJVz3NtcrYghs0y29O21cdxR6NCyMpsn-pbyt7uO5yD3V5gZVeGt_zDNytrr1m8hofoKW7nHOfgOAe3czwhGyxLirxPNva-HIy-NtY9LUzx5mblLhHLcgbXV3KXs7Nm9o0vc_KCPHdBCN2z4HlJeqp-RZ51SlNukT9dGNGpph0Y0RZGFGBEPYwo4oF6GNEOjCjAiCKMqIURTtjAyA5rYPSa_Dw8ONn_HLg2HYGMWL4M4jLLK6HDpIojrYd5mSVxWGgdCQ3BBRbIk2kpsfUjuOa6ZDpPU5ULCBSGrJJCRW9Iv57W6i2hsoqVwrPwIdMxHuFnEvQFBOUK_NiwSLZJ6H9PLl0Ne2ylMuF3S3KbDJoxM1vB5d6nEy8m7nxQ-_4cUHfvuB0vU-6UwYKD6wzfpREr3j1qEe_J0_bfskP6y_lKfSCb8nI5Xsw_OkT-A7M6tk8 |
| linkProvider | Elsevier |
| 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=Optimization+of+maintenance+scheduling+for+offshore+wind+turbines+considering+the+wake+effect+of+arbitrary+wind+direction&rft.jtitle=Electric+power+systems+research&rft.au=Ge%2C+Xiaolin&rft.au=Chen%2C+Quan&rft.au=Fu%2C+Yang&rft.au=Chung%2C+C.Y.&rft.date=2020-07-01&rft.issn=0378-7796&rft.volume=184&rft.spage=106298&rft_id=info:doi/10.1016%2Fj.epsr.2020.106298&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_epsr_2020_106298 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0378-7796&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0378-7796&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0378-7796&client=summon |