Comparative review demonstrates performance trade-offs in power system benchmarks, highlighting key operational advantages between classical and nature-inspired algorithms.
The Unit Commitment Problem (UCP), which plays a crucial role in ensuring the secure and costeffective operation of power systems, is recognized as one of the most challenging optimization problems due to its complex mix of variables and constraints. To address this challenge, a wide range of solution methodsspanning both deterministic and stochastic search algorithms have been proposed, each with its own strengths and limitations. This paper presents a comprehensive literature review of the algorithms developed for solving the UCP and compares their performance using results from established benchmark problems. The insights gained from this survey and comparative analysis aim to support ongoing research efforts in the field of power engineering.
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Im et al. (2025) studied this question.
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