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Noncooperative day-ahead bidding strategies for demand-side expected cost minimization with real-time adjustments: a GNEP approach

Author
Atzeni, I.; Garcia, L.; Scutari, G.; Palomar, D.P.; R. Fonollosa, Javier
Type of activity
Journal article
Journal
IEEE transactions on signal processing
Date of publication
2014-05-01
Volume
62
Number
9
First page
2397
Last page
2412
DOI
https://doi.org/10.1109/TSP.2014.2307835 Open in new window
Repository
http://hdl.handle.net/2117/23344 Open in new window
Abstract
The envisioned smart grid aims at improving the interaction between the supply-and the demand-side of the electricity network, creating unprecedented possibilities for optimizing the energy usage at different levels of the grid. In this paper, we propose a distributed demand-side management (DSM) method intended for smart grid users with load prediction capabilities, who possibly employ dispatchable energy generation and storage devices. These users participate in the day-ahead market and are in...
Citation
Atzeni, I. [et al.]. Noncooperative day-ahead bidding strategies for demand-side expected cost minimization with real-time adjustments: a GNEP approach. "IEEE transactions on signal processing", 01 Maig 2014, vol. 62, núm. 9, p. 2397-2412.
Keywords
Day-ahead/real-time demand-side management, Game theory, Generalized Nash equilibrium problem, Proximal decomposition algorithm, Smart grid, Variational inequality
Group of research
SPCOM - Signal Processing and Communications Group

Participants