Sub-hour Unit Commitment MILP Model with Benchmark Problem Instances

Paula Carroll (1) , Damian Flynn (1) , Bernard Fortz (2, 3) , Alex Melhorn (1)

1 UCD - University College Dublin [Dublin]
2 GOM - Graphes et Optimisation Mathématique [Bruxelles]
3 INOCS - Integrated Optimization with Complex Structure

Power 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

Domaines: Recherche opérationnelle [math.OC]

Paula Carroll, Damian Flynn, Bernard Fortz, Alex Melhorn. Sub-hour Unit Commitment MILP Model with Benchmark Problem Instances. ICCSA 2017 - 17th International Conference on Computational Science and Its Applications , Jul 2017, Trieste, Italy. pp.635-651, ⟨10.1007/978-3-319-62395-5_44⟩. ⟨hal-01665611⟩