.png){kind=icon}
返回
Quantifying PV power Output Variability
.png){kind=icon}
PRE
AI
DOI：10.1016/j.solener.2010.07.003.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper presents a novel approach to rigorously quantify power Output Variability from a fleet of photovoltaic (PV) systems, ranging from a single central station to a set of distributed PV systems. The approach demonstrates that the relative power Output Variability for a fleet of identical PV systems (same size, orientation, and spacing) can be quantified by identifying the number of PV systems and their Dispersion Factor. The Dispersion Factor is a new variable that captures the relationship between PV Fleet configuration, Cloud Transit Speed, and the Time Interval over which variability is evaluated. Results indicate that Relative Output Variability: (I) equals the inverse of the square root of the number of systems for fully dispersed PV systems; and (2) could be further minimized for optimally-spaced PV systems. (c) 2010 Elsevier Ltd. All rights reserved.
Keyword:
Solar resource
Variability
Distributed PV generation
Photovoltaics
Utility
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.6
论文数:
1.4W
被引数:
6.2W
机构
引用论文
Dependence of one-minute global irradiance probability density distributions on hourly irradiation.png)
ENERGY
ENERGYIF9.4
PREAI
分享收藏
Catalytic oxidation of carbon monoxide on non-doped and zinc oxide-doped nickel–alumina catalysts
PREAI
分享收藏
查看更多内容