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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Vydáno v:	Optimization and engineering Ročník 21; číslo 4; s. 1243 - 1281
Hlavní autoři:	Lara, Cristiana L., Siirola, John D., Grossmann, Ignacio E.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.12.2020 Springer Nature B.V
Témata:	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
On-line přístup:	Získat plný text
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