Aspects of relevance in offshore wind farm reliability assessment

被引：70
|
作者：
Negra, Nicola Barberis [1 ]
Holmstrom, Ole
Bak-Jensen, Birgitte
Sorensen, Poul
机构：
[1] Elsam Engn AS, Dong Energy, DK-7000 Fredericia, Denmark
[2] Aalborg Univ, DK-9100 Aalborg, Denmark
[3] Riso Natl Lab, DK-4000 Roskilde, Denmark
来源：
IEEE TRANSACTIONS ON ENERGY CONVERSION | 2007年 / 22卷 / 01期
关键词：
Monte Carlo methods; offshore wind farm; power system reliability; wind speed time series;
D O I：
10.1109/TEC.2006.889610
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
The worldwide increase of installed wind power capacity demands the inclusion of wind farm (WF) models into power system reliability assessment. This paper looks at this issue from available literature, and presents a list of factors that highly influence offshore WF generation. An example of sequential Monte Carlo simulation applied to an offshore WF is described using a new synthetic wind-speed generator. The simulation includes some of the reliability factors highlighted in the paper and their influence on reliability assessment.
引用
收藏
页码：159 / 166
页数：8
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