Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

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: 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

[thumbnail of Analytical_Model_for_Availability_Assessment_of_Large-Scale_Offshore_Wind_Farms_Including_Their_Collector_System.pdf]
PDF - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (1MB) | Preview


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
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

Citation Data

Cited 8 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics