风力发电
发电
计算机科学
概率分布
随机过程
测量不确定度
电力系统
数学优化
计量经济学
可靠性工程
功率(物理)
工程类
数学
统计
电气工程
物理
量子力学
作者
Yury Dvorkin,Miles Lubin,Scott Backhaus,Michael Chertkov
标识
DOI:10.1109/pesgm.2016.7741079
摘要
As penetration of wind power generation increases, system operators must account for its stochastic nature in a reliable and cost-efficient manner. These conflicting objectives can be traded-off by accounting for the variability and uncertainty of wind power generation. This letter presents a new methodology to estimate uncertainty sets for parameters of probability distributions that capture wind generation uncertainty and variability.
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