Optimization models and algorithms for the Unit Commitment problem

The unit commitment problem determines the optimal strategy to meet the electricity demand at minimum cost by committing power generation units at each point of time. Solving the unit commitment problem gives rise to a challenging optimization problem due to its combinatorial complexity and potentially long solution time requirements. Our proposed solution approach utilizes a decomposition method in conjunction with alternative models from the EGRET library. Results of this decomposition approach tested against four benchmarking systems show that significant computational speed ups are achieved.

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Publication Details

Journal
Systems and Control Transactions
Published
2025-06-30
DOI
https://doi.org/10.69997/sct.113099
Primary Topic
Electric Power System Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimization models and algorithms for the Unit Commitment problem

Ricardo Lima, Carl D. Laird, Iiro Harjunkoski, Ignacio E. Grossmann et al.
Systems and Control Transactions
Electric Power System Optimization
article

Optimization models and algorithms for the Unit Commitment problem

Ricardo Lima, Carl D. Laird, Iiro Harjunkoski, Ignacio E. Grossmann, Jan Poland, Javal Vyas
article en

Abstract

The unit commitment problem determines the optimal strategy to meet the electricity demand at minimum cost by committing power generation units at each point of time. Solving the unit commitment problem gives rise to a challenging optimization problem due to its combinatorial complexity and potentially long solution time requirements. Our proposed solution approach utilizes a decomposition method in conjunction with alternative models from the EGRET library. Results of this decomposition approach tested against four benchmarking systems show that significant computational speed ups are achieved.

Systems and Control TransactionsVol. 4
Hitachi (Germany) (DE), King Abdullah University of Science and Technology (SA), Carnegie Mellon University (US)
Carnegie Mellon University
Openalex Percentile: Top 86%
Electric Power System Optimization
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