1. Sub-hour Unit Commitment MILP Model with Benchmark Problem Instances
- Author
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Bernard Fortz, Alexander C. Melhorn, Paula Carroll, Damian Flynn, University College Dublin [Dublin] (UCD), Graphes et Optimisation Mathématique [Bruxelles] (GOM), Université libre de Bruxelles (ULB), Integrated Optimization with Complex Structure (INOCS), Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université libre de Bruxelles (ULB)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Université libre de Bruxelles (ULB)-Inria Lille - Nord Europe, and Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL)
- Subjects
021103 operations research ,Operations research ,Computer science ,business.industry ,020209 energy ,0211 other engineering and technologies ,02 engineering and technology ,[INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO] ,Grid ,7. Clean energy ,Renewable energy ,Electric power system ,Smart grid ,Power system simulation ,13. Climate action ,0202 electrical engineering, electronic engineering, information engineering ,Benchmark (computing) ,Electricity ,business ,Integer programming - Abstract
International audience; 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
- Published
- 2017