Preprocessing Uncertain Photovoltaic Data

Preprocessing Uncertain Photovoltaic Data
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预处理不确定的光伏数据

DOI:
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发表时间:
2014
影响因子:
8.8
通讯作者:
R. Ayyanar
R. Ayyanar
中科院分区:
工程技术1区
文献类型:
--
作者:
M. Fan;V. Vittal;G. Heydt;R. Ayyanar

文献摘要

被引文献

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这封信提出了一种方法,通过消除太阳在天空中的年度位置的周期性影响来管理光伏(PV)数据的不确定性。应用最小二乘法确定系统运行中可预测的低频(年度)周期分量。该方法可以应用于估计太阳位置变化引起的不同日照条件下,地球上不同位置光伏发电的概率特性。
This letter suggests a method to manage the uncertainty of photovoltaic (PV) data by removing the periodic effect of the annual position of the sun in the sky. The least squares method is applied to determine the low-frequency (annual) periodic component which is predictable in the system operation. This method can be applied to estimate the probabilistic characteristics of PV generation at various locations on the earth with differing insolation due to changing solar position.