An adaptive model with joint chance constraints for a hybrid wind-conventional generator system

DOI10.1007/s10287-018-0309-xzbMath1483.90060OpenAlexW2800044388MaRDI QIDQ1989737

David P. Morton, Surya Santoso, Bismark Singh

Publication date: 29 October 2018

Published in: Computational Management Science (Search for Journal in Brave)

Full work available at URL: https://www.osti.gov/biblio/1507479

zbMATH Keywords

stochastic integer programmingwind powerchance-constrained optimizationhybrid renewable system

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Integer programming (90C10) Stochastic programming (90C15) Stochastic scheduling theory in operations research (90B36)

Related Items (5)

Budget-cut: introduction to a budget based cutting-plane algorithm for capacity expansion models ⋮ Modeling flexible generator operating regions via chance-constrained stochastic unit commitment ⋮ General sum games with joint chance constraints ⋮ Lagrangian relaxation based heuristics for a chance-constrained optimization model of a hybrid solar-battery storage system ⋮ Approximating two-stage chance-constrained programs with classical probability bounds

Uses Software

• GAMS
• OsiCplex

Cites Work

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