{"refrec":{"BRefID":353142,"RR":"Abeynayake, G.; Van Acker, T.; Van Hertem, D.; Liang, J. (2021). Analytical model for availability assessment of large-scale offshore wind farms including their collector system. IEEE Trans. Sustain. Energy 12(4): 1974-1983. https://dx.doi.org/10.1109/TSTE.2021.3075182","BEntID":350851,"PublicFlag":1,"CheckedFlag":1,"wosflag":1,"vabbflag":0,"RefStringPartII":". IEEE Trans. Sustain. Energy 12(4): 1974-1983. https://dx.doi.org/10.1109/TSTE.2021.3075182","DocTypID":8,"DocType":"Journal article","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Abeynayake, G.; Van Acker, T.; Van Hertem, D.; Liang, J.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Abeynayake, G. et al.","Englishabstract":"With the increase of offshore wind farm size, the use of classical analytical reliability methods becomes computationally intractable. This paper proposes a holistic approach combining multi-state Markov processes and the universal generating function for the availability assessment of radial large-scale offshore wind farms. The proposed model combines multi-state wind turbine output, wind turbine reliability, and inter-array cable reliability models to assess the wind farm output at the point of common coupling. A strategy is developed to split the network into its feeders while still accounting for the wind turbine output dependence, significantly reducing the computational burden. Although the failure rates of inter-array cables are low, their inclusion is pertinent given high repair times and impact on wind farm output given the radial topology of the collection system. A case study on the Anholt wind farm indicates the necessity of accounting for the collection system, showing a significant reduction of 12 % in generation ratio availability for a generation ratio criterion of 95 %.","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"Analytical model for availability assessment of large-scale offshore wind farms including their collector system","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2026-06-11 01:32:55.026152","timezone_type":1,"timezone":"+02:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":"Wind turbines; Wind farms; Markov processes; Wind speed; Distributed power generation; Offshore installations; Power system reliability; Multi-state Markov model; offshore wind; radial systems; availability; reliability; universal generating function","OtherDescriptors":null,"Notes":null,"AnaPub":2021,"MonPub":null,"DateUpdate":"2022-06-29","DateCreate":"2022-06-28","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":"WOS:000697824900016","VABBcode":null,"OpenAcc":0,"DOI":"10.1109/TSTE.2021.3075182"},"refs":null,"anarec":{"AnaID":353142,"PubliDate":2021,"Pagination":"1974-1983","XtraPublOfAnaID":null,"ISBN":null,"Volume":"12","Issue":"4","BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":220582,"SerRR":"IEEE Transactions on Sustainable Energy. 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