  In the current practice of short-term power scheduling, online power reserves
are used to address generation mismatches and contingencies. Neither online
inertia nor the speed of the committed units is considered in the scheduling
process. With the increasing injection of uncertain renewable energy sources,
this practice is starting to fall short especially in island power systems,
where the primary frequency response is already scarce, and any contingency
leads to potentially poor frequency response. This paper introduces a data
driven linear constraint to improve the post-fault frequency quality in island
power systems. A coherent initial data-set is obtained by simulating the system
frequency response of single outages. Then logistic regression is employed as a
predictive analytic procedure to differentiate the acceptable and unacceptable
incidents. To compare the conventional methods with the proposed approach and
also to handle the uncertain nature of renewable energy generation, an adaptive
robust unit commitment formulation is utilized. Results for the island power
system of La Palma show that depending on the chosen cut-point on the logistic
regression estimation the proposed method can improve the frequency response
quality of the system while reducing the operation costs.
