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IEEE Transactions on Power Systems
Article . 2005 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
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Strategic Bidding Under Uncertainty: A Binary Expansion Approach

Authors: Veiga Pereira, Mario; Granville, Sergio; Fampa, Márcia Helena C.; Carneiro, Rafael Dix; Nobrega Barroso, Luiz Augusto;

Strategic Bidding Under Uncertainty: A Binary Expansion Approach

Abstract

Artículos en revistas This work presents a binary expansion (BE) solution approach to the problem of strategic bidding under uncertainty in short-term electricity markets. The BE scheme is used to transform the products of variables in the nonlinear bidding problem into a mixed integer linear programming formulation, which can be solved by commercially available computational systems. The BE scheme is applicable to pure price, pure quantity, or joint price/quantity bidding models. It is also possible to represent transmission networks, uncertainties (scenarios for price, quantity, plant availability, and load), financial instruments, capacity reinforcement decisions, and unit commitment. The application of the methodology is illustrated in case studies, with configurations derived from the 80-GW Brazilian system. info:eu-repo/semantics/publishedVersion

Country
Spain
Keywords

330, 510

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    citations
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
186
Top 1%
Top 1%
Top 10%