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|Title:||Hybrid model predictive control framework for the thermal unit commitment problem including start-up and shutdown power trajectories||Authors:||Foo, Eddy Yi Shyh
Patil, Bhagyesh V.
Hybrid Model Predictive Control
DRNTU::Engineering::Electrical and electronic engineering
|Issue Date:||2017||Source:||Krishnan, A., Foo, E. Y. S., & Patil, B. V. (2017). Hybrid model predictive control framework for the thermal unit commitment problem including start-up and shutdown power trajectories. IFAC-PapersOnLine, 50(1), 9329-9335. doi:10.1016/j.ifacol.2017.08.1181||Series/Report no.:||IFAC-PapersOnLine||Abstract:||This paper presents a generalized mixed logical dynamical (MLD) approach for modelling thermal units. A self-scheduling problem is formulated for a thermal unit including an accurate model of its start-up and shutdown power trajectories. This optimal self-scheduling problem is solved in a Model Predictive Control (MPC) framework. The problem formulation considers all the relevant constraints associated with the scheduling of thermal units. The efficacy of the proposed MLD approach is demonstrated through simulation results. These results are extended to a system of 5 units and the optimal scheduling problem is formulated and solved.||URI:||https://hdl.handle.net/10356/87832
|ISSN:||2405-8963||DOI:||http://dx.doi.org/10.1016/j.ifacol.2017.08.1181||Rights:||© 2017 IFAC (International Federation of Automatic Control). This paper was published in IFAC-PapersOnLine and is made available as an electronic reprint (preprint) with permission of IFAC (International Federation of Automatic Control). The published version is available at: [http://dx.doi.org/10.1016/j.ifacol.2017.08.1181]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.||metadata.item.grantfulltext:||open||metadata.item.fulltext:||With Fulltext|
|Appears in Collections:||EEE Journal Articles|
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