Modeling flexible generator operating regions via chance-constrained stochastic unit commitment
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Publication:2221469
DOI10.1007/s10287-020-00368-3OpenAlexW3041678940MaRDI QIDQ2221469
Jean-Paul Watson, Bernard Knueven, Bismark Singh
Publication date: 2 February 2021
Published in: Computational Management Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10287-020-00368-3
stochastic optimizationunit commitmentchance constraintspower systems operationsemergency operations
Uses Software
Cites Work
- A polyhedral study of production ramping
- Large-scale unit commitment under uncertainty: an updated literature survey
- An adaptive model with joint chance constraints for a hybrid wind-conventional generator system
- Approximating two-stage chance-constrained programs with classical probability bounds
- Modified orbital branching for structured symmetry with an application to unit commitment
- Tight MIP formulations for bounded up/down times and interval-dependent start-ups
- Scalable Heuristics for a Class of Chance-Constrained Stochastic Programs
- Introduction to Stochastic Programming
- Boole-Bonferroni Inequalities and Linear Programming
- Pyomo -- optimization modeling in Python
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