LAPSE:2023.9253
Published Article
LAPSE:2023.9253
Search Space Reduction for the Thermal Unit Commitment Problem through a Relevance Matrix
February 27, 2023
Abstract
Given the combinatorial explosion related to the operation decisions in the thermal unit commitment problem, this paper presents a new strategy to reduce the search space and to start the multi-modal optimization process. To achieve such goals, a relevance matrix is obtained to indicate how important each generating unit is at each hour of the operational planning. This matrix is generated through the results of a constructive heuristic based on sensitivity indexes that account for operational and economic characteristics of the generating units and of the system under planning. The proposed method is shown to reduce the complexity of the problem, thus decreasing the combinatorial explosion and, consequently, the computational burden. Its effectiveness is verified by performing optimizations with and without its utilization. The results achieved with the proposed space-reduction approach enable solutions that present good quality. Furthermore, these solutions are retrieved with significantly reduced processing time.
Keywords
combinatorial optimization, heuristic, search space reduction, thermal unit commitment
Suggested Citation
de Oliveira LM, da Silva Junior IC, Abritta R. Search Space Reduction for the Thermal Unit Commitment Problem through a Relevance Matrix. (2023). LAPSE:2023.9253
Author Affiliations
de Oliveira LM: Laboratory of Power Systems, Department of Electrical Energy, Federal University of Juiz de Fora, José Lourenço Kelmer St., São Pedro, Juiz de Fora 36036-900, Brazil [ORCID]
da Silva Junior IC: Laboratory of Power Systems, Department of Electrical Energy, Federal University of Juiz de Fora, José Lourenço Kelmer St., São Pedro, Juiz de Fora 36036-900, Brazil [ORCID]
Abritta R: Department of Geoscience and Petroleum, Norwegian University of Science and Technology, PTS Paviljong, 540, Valgrinda, S.P. Andersens veg 15, 7031 Trondheim, Norway [ORCID]
Journal Name
Energies
Volume
15
Issue
19
First Page
7153
Year
2022
Publication Date
2022-09-28
ISSN
1996-1073
Version Comments
Original Submission
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PII: en15197153, Publication Type: Journal Article
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LAPSE:2023.9253
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https://doi.org/10.3390/en15197153
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