Yang, Z, Li, K orcid.org/0000-0001-6657-0522 and Zhang, L (2016) Binary teaching-learning based optimization for power system unit commitment. In: Proceedings of the 2016 UKACC 11th International Conference on Control (CONTROL). 2016 UKACC 11th International Conference on Control (CONTROL), 31 Aug - 02 Sep 2016, Belfast, UK. IEEE ISBN 978-1-4673-9891-6
Abstract
Unit Commitment is a mix-integer optimization problem and has long been intractable for power system operators. The binary status and power generation of online units need to be determined simultaneously, while the system constraints are required to maintain at the same time. This paper proposes two binary teaching-learning based optimization methods to solve the unit commitment problem. The new methods are employed to solve different scales of 10-100 unit commitment problems with different spinning reserves. Numerical results show that the proposed new algorithms have superb performance in multiple cases studies.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Keywords: | unit commitment; binary optimization; teaching-learning based optimisation; meta-heruistic optimization |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 05 Nov 2019 14:40 |
Last Modified: | 05 Nov 2019 14:40 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/control.2016.7737550 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:153035 |