TY - JOUR
T1 - Game-theoretic methods for the smart grid
T2 - An overview of microgrid systems, demand-side management, and smart grid communications
AU - Saad, Walid
AU - Han, Zhu
AU - Poor, H. Vincent
AU - Başar, Tamer
N1 - Funding Information:
This work was supported in part by the U.S. National Science Foundation under grants CNS-09-05398, CNS-09-05086, CCF-10-16671, DMS-11-18605, CNS-1117560, ECCS-1028782, CNS-0953377, and CNS-0905556, in part by the Qatar National Research Fund under grant NPRP 4-347– 2-127, in part by the U.S. Department of Energy under grant DE-SC0003879 and in part by the U.S. Air Force Office of Scientific Research under grant MURI FA9550-09-1-0249.
PY - 2012
Y1 - 2012
N2 - The future smart grid is envisioned as a large scale cyberphysical system encompassing advanced power, communications, control, and computing technologies. To accommodate these technologies, it will have to build on solid mathematical tools that can ensure an efficient and robust operation of such heterogeneous and large-scale cyberphysical systems. In this context, this article is an overview on the potential of applying game theory for addressing relevant and timely open problems in three emerging areas that pertain to the smart grid: microgrid systems, demand-side management, and communications. In each area, the state-of-the-art contributions are gathered and a systematic treatment, using game theory, of some of the most relevant problems for future power systems is provided. Future opportunities for adopting game-theoretic methodologies in the transition from legacy systems toward smart and intelligent grids are also discussed. In a nutshell, this article provides a comprehensive account of the application of game theory in smart grid systems tailored to the interdisciplinary characteristics of these systems that integrate components from power systems, networking, communications, and control.
AB - The future smart grid is envisioned as a large scale cyberphysical system encompassing advanced power, communications, control, and computing technologies. To accommodate these technologies, it will have to build on solid mathematical tools that can ensure an efficient and robust operation of such heterogeneous and large-scale cyberphysical systems. In this context, this article is an overview on the potential of applying game theory for addressing relevant and timely open problems in three emerging areas that pertain to the smart grid: microgrid systems, demand-side management, and communications. In each area, the state-of-the-art contributions are gathered and a systematic treatment, using game theory, of some of the most relevant problems for future power systems is provided. Future opportunities for adopting game-theoretic methodologies in the transition from legacy systems toward smart and intelligent grids are also discussed. In a nutshell, this article provides a comprehensive account of the application of game theory in smart grid systems tailored to the interdisciplinary characteristics of these systems that integrate components from power systems, networking, communications, and control.
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U2 - 10.1109/MSP.2012.2186410
DO - 10.1109/MSP.2012.2186410
M3 - Review article
AN - SCOPUS:85032751135
SN - 1053-5888
VL - 29
SP - 86
EP - 105
JO - IEEE Signal Processing Magazine
JF - IEEE Signal Processing Magazine
IS - 5
M1 - 6279592
ER -