Analytical Model for Availability Assessment of Large-Scale Offshore Wind Farms Including Their Collector System

被引:29
作者
Abeynayake, Gayan [1 ]
Van Acker, Tom [2 ]
Van Hertem, Dirk [2 ]
Liang, Jun [1 ]
机构
[1] Cardiff Univ, Sch Engn, Cardiff CF24 3AA, Wales
[2] Katholieke Univ Leuven, Dept Elect Engn, B-3001 Leuven, Belgium
基金
欧盟地平线“2020”; 英国工程与自然科学研究理事会;
关键词
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; RELIABILITY EVALUATION; OPTIMIZATION; MAINTENANCE; TURBINES; CABLE; DESIGN;
D O I
10.1109/TSTE.2021.3075182
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 %.
引用
收藏
页码:1974 / 1983
页数:10
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