Day-ahead bidding strategies for demand-side expected cost minimization
Tipo de documentoTexto en actas de congreso
Fecha de publicación2012
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condiciones de accesoAcceso restringido por política de la editorial
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.
Citación, 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.