Unit commitment by enhanced adaptive Lagrangian relaxation
By Weerakorn Ongsakul, Nit Petcharaks. IEEE Transactions on Power Systems, 2004
438 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/e8eadc1ecf795a9eeb62290d20f17846af443ef7
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In Electrical and Electronic Engineering
- Salar Fattahi
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Citations in the corpus
- Parallel augment Lagrangian relaxation method for transient stability constrained unit commitment (2013, neutral): “A number of different solution techniques have been proposed, such as heuristics [7], [8], dynamic programming [1], mixed-integer linear programming (MILP) [9], and Lagrangian relaxation (LR) [10], [11].”
- Dynamic Economic Dispatch Using Lagrangian Relaxation With Multiplier Updates Based on a Quasi-Newton Method (2013, methodology): “From this test, it can be concluded that SGM with a constant step size is difficult to adapt to different problems, even though it is simple to implement.”
- Conic relaxations of the unit commitment problem (2017, methodology): “[4] propose an enhanced adaptive LR method by defining new decision variables.”
- New Local Search Methods for Improving the Lagrangian-Relaxation-Based Unit Commitment Solution (2010, methodology): “Units LRGA[8] ELR[12] MILP[7] LR LS1-first LS1-best LS2 10 518 4 - 2.”