NDLI: Improved tight and effective two-binary-variable formulations for UC problems

Content Provider	IET Digital Library
Author	Yang, Linfeng Fang, Beihua Zhang, Chen Li, Wei
Abstract	This study presents two mixed-integer programmings formulations for the unit commitment (UC) problem. First, the authors proposed a variable upper bound-based UC formulation, which is simultaneously tight and compact. Moreover, the tighter and relatively compact multi-period formulation is also presented. Both formulations (‘Multi_New’ and ‘Mult’) are tighter than the previous 2-bin (Base) and the tighter characteristic largely reduces the computational time of the formulations. Compared to the ‘Base’ formulation, the proposed formulations reduced by at least 6.6%, even 42.1% in the average time of calculation. The proposed models were tested on 73 instances over a scheduling period of 24 and 48 h. Compared to the ‘Base’ formulation, the initial Gap of ‘New’ formulation is improved by at least 8.4%. Moreover, compared to ‘Multi’ formulation, the compactness of ‘Multi_New’ formulation is improved by at least 33%. In addition, the numeric experiments show dramatic improvements in computational time for their proposed models. They provide evidence that the proposed models have better performance than the previous models.
Starting Page	1663
Ending Page	1672
Page Count	10
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 9, May (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2019.1542
Journal	IET Generation, Transmission & Distribution
Publisher Date	2020-01-16
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Base Formulation Compact Multi-period Formulation Computational Time Integer Programming Linear Programming Mixed-integer Programmings Formulations Multi_New Formulation Multiformulation Optimisation Technique Power Generation Dispatch Power Generation Scheduling Power System Economics Power System Managemen Power System Operation Time 24 H Time 48.0 Hour Two-binary-variable Formulations Unit Commitment Problem Variable Upper Bound-based UC Formulation
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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