风力机功率曲线建模

M. Raj, M. Alexander, M. Lydia
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引用次数: 23

摘要

能源有两种不同的选择,不可再生能源(煤、燃料和天然气)和可再生能源(太阳能、风能、水能和波浪)。特别是在19世纪工业革命之后,首先是煤,然后是燃料油被用作现代社会需求的主要能源。众所周知,化石燃料的潜力有限,按照目前的开发速度,预计将在下个世纪内耗尽。这就是为什么清洁、可持续和环境友好的替代能源,如风能、太阳能等,目前正在寻求的原因之一。本文的目的是表征风力发电的功率曲线,并估计风力发电机组在切割风速和额定风速之间运行时的功率。这些是通过不同的方法完成的,它们的性能是使用均方根误差(RMSE)来衡量的。通过实验证明,聚类中心估计方法是所有提出的方法中最好的方法。
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Modeling of wind turbine power curve
Energy is available in two different alternatives, non-renewable (coal, fuel and natural gas) and renewable (solar, wind, hydro and wave) sources. Especially, after the industrial revolution in the nineteenth century, first coal and then fuel oil are used as primary energy sources for the needs of modern communities. As it is known, fossil fuels have limited potential, and at the current rate of exploitation they are expected to be depleted within the next centuries. This is one of the reasons why clean, sustainable and environmentally friendly alternative energy resources like wind, solar, etc are currently sought. This paper aims to characterize the power curve of the wind energy production and to estimate the power when a WTG operates between the cut-in wind speed and the rated wind speed. These are done by different methods and their performance is measured using the root mean square error(RMSE). Through the results, it is proved that cluster center estimation method is the best method among all of the other proposed methods.
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