  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.
