Sub-hour Unit Commitment MILP Model with Benchmark Problem Instances

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Title: Sub-hour Unit Commitment MILP Model with Benchmark Problem Instances
Authors: Carroll, Paula
Flynn, Damian
Fortz, Bernard
Melhorn, Alexander C.
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Date: 7-Jul-2017
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.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: Springer
Copyright (published version): 2017 Springer
Keywords: Renewable energy sourcesUnit commitmentMixed integer linear programming models
DOI: 10.1007/978-3-319-62395-5_44
Language: en
Status of Item: Peer reviewed
Is part of: Gervasi O. et al. (eds.). Lecture Notes in Computer Science, volume 10405
Conference Details: The 17th International Conference on Computational Science and Applications (ICCSA 2017), Trieste, Italy, 3-6 July 2017
Appears in Collections:ERC Research Collection
Business Research Collection
Electrical and Electronic Engineering Research Collection

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