Day-ahead bidding strategies for demand-side expected cost minimization
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
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.
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.