Answers are grounded in this paper and cite their sources.
An interior-point/cutting-plane method for nondifferentiable optimization is used to solve the dual to a unit commitment problem. The interior-point/cutting-plane method has two advantages over previous approaches, such as the sub-gradient and bundle methods: first, it has better convergence characteristics; and second, does not suffer from the parameter-turning drawback. The results of a performance testing using systems with up to 104 units confirm the superiority of the interior-point/cutting-plane method over previous approaches.
No takes yet. Share an insight, caveat, or question.
Madrigal et al. (2000) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: