风电场同步输出功率的概率分布特性研究

Ruien Bian, Yang Nan, Fang Chen, Zhouyun Dai
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引用次数: 1

摘要

考虑到风电场输出功率的分布特点,本文利用实测数据研究了风电场每年同期的概率分布。为了准确拟合概率分布,引入傅立叶级数、多项式函数和高斯函数对数据进行分析,并以均方根、方差和决定系数作为评价指标对上述方法进行评价和比较。在各项指标上,三阶傅立叶级数能更准确地描述风电场输出功率的概率分布。最后,用不同时间数据对拟合方法进行验证。结果表明,三阶傅立叶级数能准确地描述风电场同时输出的功率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Probability Distribution Characteristics of Simultaneous Output Power of Wind Farms
Considering the distribution characteristics of wind farm output power, this paper uses the measured data to study the probability distribution of wind farm at the same time every year. In order to accurately fit the probability distribution, Fourier series, polynomial function and Gaussian function are introduced to analyze the data, and the root mean square, variance and determination coefficient are used as evaluation indexes to evaluate and compare the above methods. In terms of various indicators, the third-order Fourier series can more accurately describe the probability distribution of wind farm output power. Finally, the fitting method is verified by different time data. The results show that the third-order Fourier series can accurately describe the output power of the wind farm at the same time.
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