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Sub-hour Unit Commitment MILP Model with Benchmark Problem Instances
Date Issued
2017-07-07
Date Available
2017-12-14T09:42:49Z
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.
Sponsorship
Science Foundation Ireland
Other Sponsorship
Belgian Science Policy Office
Type of Material
Conference Publication
Publisher
Springer
Copyright (Published Version)
2017 Springer
Language
English
Status of Item
Peer reviewed
Journal
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
This item is made available under a Creative Commons License
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Name
Carroll_UC_CMBA_revised.pdf
Size
447.81 KB
Format
Adobe PDF
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