Stochastic hydro-thermal unit commitment via multi-level scenario trees and bundle regularization
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Publication:779756
DOI10.1007/s11081-019-09448-zzbMath1447.90024OpenAlexW2955621325MaRDI QIDQ779756
Publication date: 14 July 2020
Published in: Optimization and Engineering (Search for Journal in Brave)
Full work available at URL: https://hdl.handle.net/11250/2650974
stochastic optimizationbundle methodsunit commitmentmulti-horizon scenario treesnon-convex hydro-production functionregularized benders decomposition
Applications of mathematical programming (90C90) Stochastic programming (90C15) Decomposition methods (49M27)
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Cites Work
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- Solving semidefinite-quadratic-linear programs using SDPT3
- Regularized optimization methods for convex MINLP problems
- Nonconvex generalized Benders decomposition for stochastic separable mixed-integer nonlinear programs
- Multi-horizon stochastic programming
- Computing deep facet-defining disjunctive cuts for mixed-integer programming
- Proximal level bundle methods for convex nondifferentiable optimization, saddle-point problems and variational inequalities
- Large-scale unit commitment under uncertainty
- Uncontrolled inexact information within bundle methods
- On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
- Generalized Benders decomposition
- Prices stabilization for inexact unit-commitment problems
- A note on the selection of Benders' cuts
- Multiarea Stochastic Unit Commitment for High Wind Penetration in a Transmission Constrained Network
- Level bundle methods for oracles with on-demand accuracy
- Risk-Averse Optimization in Two-Stage Stochastic Models: Computational Aspects and a Study
- Inexact Bundle Methods for Two-Stage Stochastic Programming
- Optimal scenario tree reduction for stochastic streamflows in power generation planning problems
- A regularized decomposition method for minimizing a sum of polyhedral functions
- Accelerating Benders Decomposition: Algorithmic Enhancement and Model Selection Criteria
- Multicommodity Distribution System Design by Benders Decomposition
- A Modified Benders' Partitioning Algorithm for Mixed Integer Programming
- Inexact Cuts in Benders Decomposition
- Numerical optimization. Theoretical and practical aspects. Transl. from the French
