Carroll, PaulaPaulaCarrollFlynn, DamianDamianFlynnFortz, BernardBernardFortzMelhorn, Alexander C.Alexander C.Melhorn2017-12-142017-12-142017 Sprin2017-07-07http://hdl.handle.net/10197/9108The 17th International Conference on Computational Science and Applications (ICCSA 2017), Trieste, Italy, 3-6 July 2017Power systems are operated to deliver electricity at minimum cost while adhering to operational and technical constraints. The introduction of smart grid technologies and renewable energy sources offers new challenges and opportunities for the efficient and reliable management of the grid. In this paper we focus on a Mixed Integer Programming sub-hour Unit Commitment model. We present analysis of computational results from a large set of problem instances based on the Irish system and show that problem instances with higher variability in net demand (after the integration of renewables) are more challenging to solve.enThe final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-62395-5_44Renewable energy sourcesUnit commitmentMixed integer linear programming modelsSub-hour Unit Commitment MILP Model with Benchmark Problem InstancesConference Publication10.1007/978-3-319-62395-5_442017-07-19https://creativecommons.org/licenses/by-nc-nd/3.0/ie/