Electric power infrastructure planning under uncertainty: stochastic dual dynamic integer programming (SDDiP) and parallelization scheme

We address the long-term planning of electric power infrastructure under uncertainty. We propose a Multistage Stochastic Mixed-integer Programming formulation that optimizes the generation expansion to meet the projected electricity demand over multiple years while considering detailed operational c...

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Veröffentlicht in:	Optimization and engineering Jg. 21; H. 4; S. 1243 - 1281
Hauptverfasser:	Lara, Cristiana L., Siirola, John D., Grossmann, Ignacio E.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.12.2020 Springer Nature B.V
Schlagworte:	Algorithms Control Electric power Electric power demand Electricity consumption Electricity distribution Engineering Environmental Management Financial Engineering Infrastructure Integer programming Mathematics Mathematics and Statistics Mixed integer Natural gas Natural gas prices Operations Research/Decision Theory Optimization Parallel processing Power flow Research Article Scale models Systems Theory Uncertainty Generation expansion planning Stochastic dual dynamic integer programming Multistage stochastic programming
ISSN:	1389-4420, 1573-2924
Online-Zugang:	Volltext
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