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Day-ahead bidding strategies for demand-side expected cost minimization
dc.contributor.author | Atzeni, Italo |
dc.contributor.author | García Ordoñez, Luis |
dc.contributor.author | Scutari, Gesualdo |
dc.contributor.author | Palomar, D.P. |
dc.contributor.author | Rodríguez Fonollosa, Javier |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2013-04-22T17:41:14Z |
dc.date.created | 2012 |
dc.date.issued | 2012 |
dc.identifier.citation | , I. [et al.]. Day-ahead bidding strategies for demand-side expected cost minimization. A: IEEE International Conference on Smart Grid Communications. "2012 IEEE Third International Conference on Smart Grid Communications (SmartGridComm) took place 5-8 November 2012 in Tainan City, Taiwan". Tainan City: Institute of Electrical and Electronics Engineers (IEEE), 2012, p. 1-6. |
dc.identifier.isbn | 978-1-4673-0911-0 |
dc.identifier.uri | http://hdl.handle.net/2117/18932 |
dc.description.abstract | Day-ahead DSM techniques in the smart grid allow the supply-side to know in advance an estimation of the amount of energy to be provided to the demand-side during the upcoming day. However, a pure day-ahead optimization process cannot accommodate potential real-time deviations from the expected energy consumption by the demand-side users, neither the randomness of their renewable sources. This paper proposes a day-ahead bidding system based on a pricing model that combines: i) a price per unit of energy depending on the day-ahead bid energy needs of the demand-side users, and ii) a penalty system that limits the real-time fluctuations around the bid energy loads. In this day-ahead bidding process, demand-side users, possibly having energy production and storage capabilities, are interested in minimizing their expected monetary expense. The resulting optimization problem is formulated as a noncooperative game and is solved by means of suitable distributed algorithms. Finally, the proposed procedure is tested in a realistic setup. |
dc.format.extent | 6 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Energies::Gestió de l'energia::Estalvi energètic |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació |
dc.subject.lcsh | Energy conservation |
dc.title | Day-ahead bidding strategies for demand-side expected cost minimization |
dc.type | Conference report |
dc.subject.lemac | Energia -- Estalvi |
dc.contributor.group | Universitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions |
dc.identifier.doi | 10.1109/SmartGridComm.2012.6485965 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6485965&contentType=Conference+Publications&sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A6485945%29 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 11716199 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | , I.; Garcia, L.; Scutari, G.; Palomar, D.; R. Fonollosa, Javier |
local.citation.contributor | IEEE International Conference on Smart Grid Communications |
local.citation.pubplace | Tainan City |
local.citation.publicationName | 2012 IEEE Third International Conference on Smart Grid Communications (SmartGridComm) took place 5-8 November 2012 in Tainan City, Taiwan |
local.citation.startingPage | 1 |
local.citation.endingPage | 6 |