Analytical model for availability assessment of large-scale offshore wind farms including their collector system

Abeynayake, Gayan, Van Acker, Tom, Van Hertem, Dirk and Liang, Jun ORCID: https://orcid.org/0000-0001-7511-449X 2021. Analytical model for availability assessment of large-scale offshore wind farms including their collector system. IEEE Transactions on Sustainable Energy 12 (4) , pp. 1974-1983. 10.1109/TSTE.2021.3075182

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Abstract

With the increase of offshore wind farm size, the use of classical analytical reliability methods becomes compu-tationally 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 %.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Additional Information:	This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. For more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
ISSN:	1949-3029
Date of First Compliant Deposit:	4 May 2021
Date of Acceptance:	20 April 2021
Last Modified:	04 May 2023 10:25
URI:	https://orca.cardiff.ac.uk/id/eprint/140923

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