The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Game-Theoretic Methods for the Smart Grid: An Overview of Microgrid Systems, Demand-Side Management, and Smart Grid Communications
Abstract
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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Cites
Mohsenian-Rad, A.-H., Wong, V. W. S., Jatskevich, J., Schober, R., & Leon-Garcia, A. (2010) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2010.2089069 · Cited by 2,744
Hatziargyriou, N., Asano, H., Iravani, R., & Marnay, C. (2007) · IEEE Power and Energy Magazine · doi:10.1109/mpae.2007.376583 · Cited by 2,519
(2007) · Cambridge University Press eBooks · doi:10.1017/cbo9780511800481 · Cited by 2,303
Kempton, W., & Tomić, J. (2005) · Journal of Power Sources · doi:10.1016/j.jpowsour.2004.12.022 · Cited by 2,126
Opportunities and Challenges of Wireless Sensor Networks in Smart Grid
Gungor, V. C., Lu, B., & Hancke, G. P. (2010) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2009.2039455 · Cited by 1,368
Algorithmic Game Theory: Quantifying the Inefficiency of Equilibria
Nisan, N., Roughgarden, T., Eva Tardos, D., & Vazirani, V. V. (2007) · Cited by 1,154
Algorithmic Game Theory: Computing in Games
Nisan, N., Roughgarden, T., Eva Tardos, D., & Vazirani, V. V. (2007) · Cited by 1,153
Bounded Rationality: The Adaptive Toolbox
(2002) · The MIT Press eBooks · doi:10.7551/mitpress/1654.001.0001 · Cited by 1,031
For the Grid and Through the Grid: The Role of Power Line Communications in the Smart Grid
Galli, S., Scaglione, A., & Wang, Z. (2011) · Proceedings of the IEEE · doi:10.1109/jproc.2011.2109670 · Cited by 1,002
Optimal demand response based on utility maximization in power networks
Li, N., Chen, L., & Low, S. H. (2011) · 2011 IEEE Power and Energy Society General Meeting · doi:10.1109/pes.2011.6039082 · Cited by 941
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Energy Management and Optimization Methods for Grid Energy Storage Systems
Byrne, R. H., Nguyen, T. A., Copp, D. A., Chalamala, B. R., & Gyuk, I. (2018) · IEEE Access · doi:10.1109/access.2017.2741578 · Cited by 406
Zia, M. F., Benbouzid, M., Elbouchikhi, E., Muyeen, S. M., Techato, K., & Guerrero, J. M. (2020) · IEEE Access · doi:10.1109/access.2020.2968402 · Cited by 355
Bakare, M. S., Abdulkarim, A., Zeeshan, M., & Shuaibu, A. N. (2023) · Energy Informatics · doi:10.1186/s42162-023-00262-7 · Cited by 283
Game Theory for Multi-Access Edge Computing: Survey, Use Cases, and Future Trends
Moura, J., & Hutchison, D. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2863030 · Cited by 193
Future generation 5G wireless networks for smart grid: a comprehensive review
S, S. R., Dragičević, T., Siano, P., & Prabaharan, S. R. S. (2019) · Energies · doi:10.3390/en12112140 · Cited by 162
Metadata
- Authors
- Saad, W., Han, Z., Poor, H., & Basar, T.
- Venue
- IEEE Signal Processing Magazine
- Published
- 2012-09
- Volume
- 29
- Issue
- 5
- Pages
- 86-105
- ISSN
- 1053-5888 (ISSN-L)
- OpenAlex
- W2058626062
- Cited by
- 891
- References
- 36
- FWCI
- 34.18
- Type
- journal article
- Language
- en
- Open access
- closed
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- Saad, W., Han, Z., Poor, H., & Basar, T. (2012). Game-Theoretic Methods for the Smart Grid: An Overview of Microgrid Systems, Demand-Side Management, and Smart Grid Communications. IEEE Signal Processing Magazine. https://doi.org/10.1109/msp.2012.2186410
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
