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Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.author | Wogrin, Sonja | es-ES |
dc.contributor.author | Tejada Arango, Diego Alejandro | es-ES |
dc.contributor.author | Downward, Anthony | es-ES |
dc.contributor.author | Philpott, Andy | es-ES |
dc.date.accessioned | 2021-06-07T11:46:43Z | - |
dc.date.available | 2021-06-07T11:46:43Z | - |
dc.date.issued | 2021-07-26 | es_ES |
dc.identifier.issn | 1364-503X | es_ES |
dc.identifier.uri | https:doi.org10.1098rsta.2019.0436 | es_ES |
dc.description | Artículos en revistas | es_ES |
dc.description.abstract | es-ES | |
dc.description.abstract | 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. | en-GB |
dc.format.mimetype | application/pdf | es_ES |
dc.language.iso | en-GB | es_ES |
dc.rights | es_ES | |
dc.rights.uri | es_ES | |
dc.source | Revista: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Periodo: 1, Volumen: online, Número: 2202, Página inicial: 20190436-1, Página final: 20190436-22 | es_ES |
dc.subject.other | Instituto de Investigación Tecnológica (IIT) | es_ES |
dc.title | Welfare-maximizing transmission capacity expansion under uncertainty | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.description.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/restrictedAccess | es_ES |
dc.keywords | es-ES | |
dc.keywords | stochastic optimization, JuDGE, transmission expansion planning, bilevel programming | en-GB |
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IIT-21-019A.pdf | 714,41 kB | Adobe PDF | Visualizar/Abrir Request a copy |
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