Sub-hour Unit Commitment MILP Model with Benchmark Problem Instances

Paula Carroll 1 Damian Flynn 1 Bernard Fortz 2, 3 Alex Melhorn 1
3 INOCS - Integrated Optimization with Complex Structure
ULB - Université Libre de Bruxelles [Bruxelles], Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Abstract : 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
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Communication dans un congrès
ICCSA 2017 - 17th International Conference on Computational Science and Its Applications , Jul 2017, Trieste, Italy. LNCS, 10405, pp.635-651, 2017, Computational Science and Its Applications - ICCSA 2017. 〈http://2017.iccsa.org/〉. 〈10.1007/978-3-319-62395-5_44〉
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Soumis le : lundi 18 décembre 2017 - 09:59:57
Dernière modification le : mardi 3 juillet 2018 - 11:34:53

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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. LNCS, 10405, pp.635-651, 2017, Computational Science and Its Applications - ICCSA 2017. 〈http://2017.iccsa.org/〉. 〈10.1007/978-3-319-62395-5_44〉. 〈hal-01665611〉

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