Solving the security constrained unit commitment problem: Three novel approaches

This work proposes three novel approaches to speed up the solution of the Security Constrained Unit Commitment problem: an improvement of an active-set iterative approach taken from literature, an approach using solver callback functions for the evaluation of system and security constraints in the branch-and-bound tree, and one based on a shrinking horizon decomposition integrated with the use of callback functions. The three approaches were tested over five different case studies and compared against an approach taken from literature to assess scalability and performance. Results show that the modified iterative approach is always faster than the original one reported in the literature (between −58% and −93% run time), while the callback-based method does not reduce the computational time of large-scale instances. Finally, the shrinking-horizon-based approach was proved to be the fastest (up to −98% less time) despite not guaranteeing optimality (about 1% suboptimal).

Authors

Publication Details

Journal
International Journal of Electrical Power & Energy Systems
Published
2024-10-22
DOI
https://doi.org/10.1016/j.ijepes.2024.110213
Citations
2
Primary Topic
Electric Power System Optimization
Type
article
Field-Weighted Citation Impact
0.42
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article

Solving the security constrained unit commitment problem: Three novel approaches

Emanuele Martelli, Alessandro Francesco Castelli, Iiro Harjunkoski, Marco Giuntoli et al.
2 citations
International Journal of Electrical Power & Energy Systems
Electric Power System Optimization
0.42
article

Solving the security constrained unit commitment problem: Three novel approaches

Emanuele Martelli, Alessandro Francesco Castelli, Iiro Harjunkoski, Marco Giuntoli, Ignacio E. Grossmann, Jan Poland
article en
2 citations

Abstract

This work proposes three novel approaches to speed up the solution of the Security Constrained Unit Commitment problem: an improvement of an active-set iterative approach taken from literature, an approach using solver callback functions for the evaluation of system and security constraints in the branch-and-bound tree, and one based on a shrinking horizon decomposition integrated with the use of callback functions. The three approaches were tested over five different case studies and compared against an approach taken from literature to assess scalability and performance. Results show that the modified iterative approach is always faster than the original one reported in the literature (between −58% and −93% run time), while the callback-based method does not reduce the computational time of large-scale instances. Finally, the shrinking-horizon-based approach was proved to be the fastest (up to −98% less time) despite not guaranteeing optimality (about 1% suboptimal).

International Journal of Electrical Power & Energy SystemsVol. 162
Openalex Percentile: Top 37%
Electric Power System Optimization
0.42
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Solving the security constrained unit commitment problem: Three novel approaches — Emanuele Martelli, Alessandro Francesco Castelli, et al. · International Journal of Electrical Power & Energy Systems (2024) | TGRS Research Map | TGRS