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Analytical model for availability assessment of large-scale offshore wind farms including their collector system
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
In: IEEE Transactions on Sustainable Energy. IEEE: Piscataway, N.J.. ISSN 1949-3029; e-ISSN 1949-3037, more
Peer reviewed article  

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Keyword
    Marine/Coastal
Author keywords
    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

Authors  Top 
  • Abeynayake, G.
  • Van Acker, T., more
  • Van Hertem, D., more
  • Liang, J.

Abstract
    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 %.

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