考虑尾流效应的风电场可靠性分析的概率状态序列法

Dongbo Zhao, A. Meliopoulos, Zhenyu Tan, Rui Fan
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引用次数: 0

摘要

由于风能的间歇性,风力发电场的可靠性分析,特别是考虑尾流效应的可靠性分析一直是一个挑战。本文提出了一种概率状态序列方法,利用每台风力机的独立概率分布,给出了风电场总输出状态的积分和可靠性指标的推导。当考虑尾迹效应时,与正常情况相比,该方法保持不变,唯一需要修改的是求和序列的表示状态。采用概率状态序列法进行可靠性分析,计算效率高,且参数易变化。一个研究案例表明了该方法的使用和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Probability state sequence method for reliability analysis of wind farms considering wake effect
Reliability analysis of wind farms, especially when considering wake effect, has been a challenge due to the intermittency of wind energy. This paper proposes a probability state sequence method which utilizes the independent probability distribution of each wind turbine to come up with the integration of total output states of the wind farm and the derivation of reliability indices. When wake effect is considered, the method remains unchanged comparing to normal cases but the only modification needed is on the representing states for the sum sequence. By using the probability state sequence method, the reliability analysis can have higher computational efficiency and can be subject to easy change of parameters. A studied case has been shown to demonstrate the use and effectiveness of the method.
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