Welfare-maximizing transmission capacity expansion under uncertainty

We apply the JuDGE optimization package to a multistage stochastic leader–follower model that determines a transmission capacity expansion plan to maximize expected social welfare of consumers and producers who act as Cournot oligopolists in each time period. The problem is formulated as a large-sca...

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Veröffentlicht in:Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences physical, and engineering sciences, 2021-07, Vol.379 (2202), p.20190436-20190436
Hauptverfasser: Wogrin, S., Tejada-Arango, D., Downward, A., Philpott, A.B.
Format: Artikel
Sprache:eng
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Zusammenfassung:We apply the JuDGE optimization package to a multistage stochastic leader–follower model that determines a transmission capacity expansion plan to maximize expected social welfare of consumers and producers who act as Cournot oligopolists in each time period. The problem is formulated as a large-scale mixed integer programme and applied to a 5-bus instance over scenario trees of varying size. The computational effort required by JuDGE is compared with solving the deterministic equivalent mixed integer programme using a state-of-the-art integer programming package. This article is part of the theme issue ‘The mathematics of energy systems’.
ISSN:1364-503X
1471-2962
DOI:10.1098/rsta.2019.0436