Deterministic electric power infrastructure planning: mixed-integer programming model and nested decomposition algorithm
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Publication:1653389
DOI10.1016/j.ejor.2018.05.039zbMath1403.90207OpenAlexW2804352748MaRDI QIDQ1653389
Dimitri J. Papageorgiou, Ignacio E. Grossmann, Cristiana L. Lara, Dharik S. Mallapragada, Aranya Venkatesh
Publication date: 3 August 2018
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2018.05.039
Applications of mathematical programming (90C90) Mixed integer programming (90C11) Deterministic network models in operations research (90B10)
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Uses Software
Cites Work
- Wind farm portfolio optimization under network capacity constraints
- A model and approach to the challenge posed by optimal power systems planning
- About Lagrangian methods in integer optimization
- Multi-stage stochastic optimization applied to energy planning
- The Benders decomposition algorithm: a literature review
- Dynamic convexification within nested Benders decomposition using Lagrangian relaxation: an application to the strategic bidding problem
- GDDP: Generalized dual dynamic programming theory
- The Value of Multistage Stochastic Programming in Capacity Planning Under Uncertainty
- Decomposition and Partitioning Methods for Multistage Stochastic Linear Programs
- Stochastic Power Generation Unit Commitment in Electricity Markets: A Novel Formulation and a Comparison of Solution Methods
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