Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/16483
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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. |
| URI: | http://link.springer.com/chapter/10.1007%2F978-3-319-16766-4_41#page-1
http://hdl.handle.net/10174/16483 |
| ISMN: | 978-3-319-16766-4 |
| Type: | lecture |
| Appears in Collections: | FIS - Comunicações - Em Congressos Científicos Internacionais
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