Offering Strategies of Wind Power Producers in a Day-Ahead Electricity Market
| dc.contributor.author | Melicio, Rui | |
| dc.date.accessioned | 2015-12-11T17:49:22Z | |
| dc.date.available | 2015-12-11T17:49:22Z | |
| dc.date.issued | 2015-04-15 | |
| dc.description.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. | por |
| dc.identifier.authoremail | ruimelicio@gmail.com | |
| dc.identifier.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 | por |
| dc.identifier.ismn | 978-3-319-16766-4 | |
| dc.identifier.scientificarea | 483 | por |
| dc.identifier.uri | http://link.springer.com/chapter/10.1007%2F978-3-319-16766-4_41#page-1 | |
| dc.identifier.uri | http://hdl.handle.net/10174/16483 | |
| dc.identifier.withinvitedoralpresentation | nao | por |
| dc.identifier.withoralpresentation | sim | por |
| dc.identifier.withposter | nao | por |
| dc.language.iso | eng | por |
| dc.publisher | SPRINGER, Heidelberg, Germany | por |
| dc.rights | restrictedAccess | por |
| dc.subject | Mixed-integer linear programming | por |
| dc.subject | Stochastic optimization | por |
| dc.subject | Wind power | por |
| dc.subject | Offering strategies | por |
| dc.title | Offering Strategies of Wind Power Producers in a Day-Ahead Electricity Market | por |
| dc.type | lecture | por |