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Title: Offering Strategies of Wind Power Producers in a Day-Ahead Electricity Market
Authors: Melicio, Rui
Keywords: Mixed-integer linear programming
Stochastic optimization
Wind power
Offering strategies
Issue Date: 15-Apr-2015
Publisher: SPRINGER, Heidelberg, Germany
Citation: in: Technological Innovation for Cloud-based Engineering Systems, Eds. L.M. Camarinha-Matos, T.A. Baldissera, G. Di Orio, F. Marques, DoCEIS 2015, IFIP AICT 450, SPRINGER, Heidelberg, Germany, ISBN: 978-3-319-16766-4, pp. 385–394, April 2015
Abstract: This paper presents a stochastic optimization-based approach applied to offer strategies of a wind power producer in a day-ahead electricity market. Further from facing the uncertainty on the wind power the market forces wind power producers to face the uncertainty of the market-clearing electricity price. Also, the producer faces penalties in case of being unable to fulfill the offer. An efficient mixed-integer linear program is presented to develop the offering strategies, having as a goal the maximization of profit. A case study with data from the Iberian Electricity Market is presented and results are discussed to show the effectiveness of the proposed approach.
ISMN: 978-3-319-16766-4
Type: lecture
Appears in Collections:FIS - Comunicações - Em Congressos Científicos Internacionais

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