Lagrangian Heuristics Based on Disaggregated Bundle Methods for Hydrothermal Unit Commitment
By Alberto Borghetti, Antonio Frangioni, Fabrizio Lacalandra, Carlo Alberto Nucci. IEEE Power Engineering Review, 2002
161 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/b93f2007ce553d784b0b13ce3c219eef92fc3159
How researchers see this paper
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In Electrical and Electronic Engineering
- Claudio Gentile
- Antonio Frangioni
- Fabrizio Lacalandra
- K. Kawamoto
- Hongbin Sun
- Boming Zhang
- Wenchuan Wu
- Qinglai Guo
Citations in the corpus
- New Local Search Methods for Improving the Lagrangian-Relaxation-Based Unit Commitment Solution (2010, methodology): “In [6], it is reported that the bundle method requires fewer iterations to converge, as compared to the subgradient method.”
- Dynamic Economic Dispatch Using Lagrangian Relaxation With Multiplier Updates Based on a Quasi-Newton Method (2013, methodology): “Major multiplier updating techniques include the subgradient method (SGM) [3], [22], the dynamic constrained cutting plane (DCCP) method [23], the bundle method (BM) [24], [25], and the bundle trust region method (BTRM) [26].”
- Tighter Approximated MILP Formulations for Unit Commitment Problems (2009, methodology): “, [15]) or in the more sophisticated one recently proposed in [7], could be easily included in the formulation, but they have not been used in the instances used in Section IV since they are not likely to have any significant impact on the relative efficiency of the different approximate formulation”