Two-zone electricity equilibrium computation with Mixed Integer Programming

dc.contributor.author Campos,FA en
dc.contributor.author Roman,A en
dc.contributor.author José Villar en
dc.contributor.author Diaz,CA en
dc.date.accessioned 2018-01-16T12:19:20Z
dc.date.available 2018-01-16T12:19:20Z
dc.date.issued 2014 en
dc.description.abstract Cross-border energy markets are becoming more relevant and line congestions may cause significant modifications in their underlined bidding strategies, increasing the market power. This environment requires the development of new tools to measure biased behaviors, and also to try to mitigate them. The related literature makes use of techniques to simulate the bidding strategies, mostly based in optimization models, with or without equilibrium constraints, or mixed complementary problems, and embedded in ad-hoc iterative procedures. This paper presents a model for a two areas system, assuming a conjectural equilibrium. A Mixed Integer Programming method has been implemented to solve the equilibrium conditions, where a binary variable is used to represent the line's power flow status (congested or not) between both two areas. Instead of an ad-hoc algorithm, the Branch and Bound algorithm is used for the resolution, which can assure convergence in specific situations where previous algorithms may diverge. © 2014 IEEE. en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/6345
dc.identifier.uri http://dx.doi.org/10.1109/eem.2014.6861226 en
dc.language eng en
dc.relation 6853 en
dc.rights info:eu-repo/semantics/embargoedAccess en
dc.title Two-zone electricity equilibrium computation with Mixed Integer Programming en
dc.type conferenceObject en
dc.type Publication en
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