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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.03977 |
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| _version_ | 1866915890485788672 |
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| author | Regev, Shaked Tsybina, Eve Peles, Slaven |
| author_facet | Regev, Shaked Tsybina, Eve Peles, Slaven |
| contents | We propose a novel computational method for unit commitment UC, which does not require linearized approximation and provides several orders of magnitude performance improvement over current state-of-the-art. The performance improvement is achieved by introducing a heuristic tailored for UC problems. The method can be implemented using existing continuous optimization solvers and adapted for different applications. We demonstrate value of the new method in examples of advanced UC analyses at the scale where use of current state-of-the-art tools is infeasible. We expect that the capability demonstrated in this paper will be critical to address emerging power systems challenges with more volatile large loads, such as data centers, and generation that is composed of larger number of smaller units, including significant behind-the-meter generation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_03977 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Fast Relax-and-Round Unit Commitment with Sub-hourly Mechanical and Ramp Constraints Regev, Shaked Tsybina, Eve Peles, Slaven Optimization and Control Mathematical Software 90C26 G.4; G.2; J.2 We propose a novel computational method for unit commitment UC, which does not require linearized approximation and provides several orders of magnitude performance improvement over current state-of-the-art. The performance improvement is achieved by introducing a heuristic tailored for UC problems. The method can be implemented using existing continuous optimization solvers and adapted for different applications. We demonstrate value of the new method in examples of advanced UC analyses at the scale where use of current state-of-the-art tools is infeasible. We expect that the capability demonstrated in this paper will be critical to address emerging power systems challenges with more volatile large loads, such as data centers, and generation that is composed of larger number of smaller units, including significant behind-the-meter generation. |
| title | Fast Relax-and-Round Unit Commitment with Sub-hourly Mechanical and Ramp Constraints |
| topic | Optimization and Control Mathematical Software 90C26 G.4; G.2; J.2 |
| url | https://arxiv.org/abs/2602.03977 |