Capacity Credit Evaluation of Wind Farm Considering Impact of Turbine Hub Level

被引：0
作者：
Nga Nguyen [1 ]
Almasabi, Saleh [2 ]
Mitra, Joydeep [3 ]
机构：
[1] Univ Wyoming, Elect & Comp Engn, Laramie, WY 82071 USA
[2] Najran Univ, Elect & Comp Engn, Najran, Saudi Arabia
[3] Michigan State Univ, Elect & Comp Engn, E Lansing, MI 48824 USA
来源：
2019 51ST NORTH AMERICAN POWER SYMPOSIUM (NAPS) | 2019年
关键词：
Failure rate; hub level; reliability; wind power output; wind speed; wind turbine; RELIABILITY; SYSTEMS; MODEL;
D O I：
10.1109/naps46351.2019.9000310
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：
This paper presents an improved approach to assess wind turbine reliability considering the impact of hub levels using Monte Carlo simulation. The hub level of wind turbine affects wind turbine reliability in two aspects: 1) different hub levels are subject to different wind speeds, which produce different wind power outputs; 2) due to the correlation between wind speeds and turbine failure rates, wind turbines with different hub levels have different rates of failure. Therefore, it is important to consider the wind turbine's height, particular hub levels, when evaluating wind turbine reliability. The purpose of this paper is to develop a model to evaluate wind farm reliability while considering the effect of hub levels on wind turbine output and on wind turbine failure rates. The proposed approach is tested on the IEEE RTS-79 system with relevant modifications using probabilistic simulation. The efficacy of the approach is verified by evaluating reliability indexes of wind farms when the hub levels of wind turbines are taken into account.
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页数：6
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