风电项目威布尔参数估计的经济效应

C. Ramos-Robles, A. Irizarry-Rivera
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引用次数: 10

摘要

本文用威布尔概率密度函数(PDF)分析了风的测量。我们使用极大似然估计(MLE)和最小二乘估计(LSE)方法估计Weibull PDF的形状因子(k)和尺度因子(c)。然后,我们比较了使用每种方法估计的参数时将获得的能量生产结果。一个经济的分析是执行,以显示高估或低估能源生产的影响,造成了一个错误的估计威布尔PDF参数。最后进行了蒙特卡罗模拟,以评估形状和规模参数对项目结果的经济风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Economical effects of the Weibull parameter estimation on wind energy projects
In this paper we analyze wind measurements using the Weibull probability density function (PDF). We estimate the shape factor (k) and the scale factor (c) of a Weibull PDF using maximum likelihood estimators (MLE) and the least squares estimation (LSE) method. We then compare the energy production results that would be obtained when using the parameters estimated with each method. An economical analysis is performed to show the effects of overestimating or underestimating energy production caused by an erroneous estimation of the Weibull PDF parameters. Finally a Monte Carlo simulation is performed to asses the economical risk that the shape and scale parameters represent to the outcome of the project.
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