Please use this identifier to cite or link to this item:
|Title: ||Offering Strategies of Wind Power Producers in a Day-Ahead Electricity Market|
|Authors: ||Melicio, Rui|
|Keywords: ||Mixed-integer linear programming|
|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.|
|Appears in Collections:||FIS - Comunicações - Em Congressos Científicos Internacionais|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.