用不同方法估计风能潜力的威布尔参数

Mansi Mangroliya, Sravankumar Jogunuri, D. Vyas
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引用次数: 0

摘要

风速分布估计是建立风力发电厂或风电场的一项具有挑战性的工作。对近年来报道的许多统计方法进行了综述,发现威布尔分布是广泛使用的风速模型。本研究采用矩量法、经验法和功率密度法三种不同的统计方法对两个威布尔参数(形状因子k和尺度因子c(m/s))进行估计。为了确定拟合优度,考虑了均方根误差、卡方误差和R2,发现所有三种方法的表现相同,没有任何一种方法优于另一种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of Weibull parameters by different methods for assessment of wind energy potential
Wind speed distributions estimations is a challenging job for establishing wind mill or wind farms. Many statistical methods reported recently were reviewed and found that Weibull distribution is widely used wind speed modelling. In the present study, by using three different statistical methods namely, Methods of Moment, Empirical Method and Power Density Methods used for estimating two Weibull parameters (shape factor-k and scale factor-c(m/s). For identifying the goodness of fit, root mean square error, chi-square error and R2 were considered and found that all three methods were performing in the same way and no any method is superior over the other.
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