The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Integrated Demand Side Management Game in Smart Energy Hubs
Abstract
The presence of energy hubs and the advancement in smart grid technologies have motivated system planners to deploy intelligent multicarrier energy systems entitled “smart energy hub” (S.E. Hub). In this paper, we model S.E. Hub, and propose a modern energy management technique in electricity and natural gas networks based on integrated demand side management (IDSM). In conventional studies, energy consumption is optimized from the perspective of each individual user without considering the interactions with each other. Here, the interaction among S.E. Hubs in IDSM program is formulated as a noncooperative game. The existence and uniqueness of a pure strategy Nash equilibrium (NE) is proved. Additionally, the strategies for each S.E. Hub are determined by proposing a distributed algorithm. We also address the IDSM game in a cloud computing (CC) framework to achieve efficient data processing and information management. Simulations are performed on a grid consisting of ten S.E. Hubs. We compare the CC framework with conventional data processing techniques to evaluate the efficiency of our proposed approach in determining NE. It is also shown that in the NE, the energy cost for each S.E. Hub and the peak-to-average ratio of the electricity demand decrease substantially.
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Cites
Boyd, S., & Vandenberghe, L. (2004) · doi:10.1017/cbo9780511804441 · Cited by 56,601
(1994) · Cited by 5,513
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
Existence and Uniqueness of Equilibrium Points for Concave N-Person Games
Rosen, J. B. (1965) · Econometrica · doi:10.2307/1911749 · Cited by 2,686
Geidl, M., Koeppel, G., Favre-Perrod, P., Klockl, B., Andersson, G., & Frohlich, K. (2007) · IEEE Power and Energy Magazine · doi:10.1109/mpae.2007.264850 · Cited by 1,132
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
Advanced Demand Side Management for the Future Smart Grid Using Mechanism Design
Samadi, P., Mohsenian-Rad, H., Schober, R., & Wong, V. W. S. (2012) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2012.2203341 · Cited by 806
Dependable Demand Response Management in the Smart Grid: A Stackelberg Game Approach
Maharjan, S., Zhu, Q., Zhang, Y., Gjessing, S., & Basar, T. (2013) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2012.2223766 · Cited by 783
Equilibrium Pricing and Optimal Hedging in Electricity Forward Markets
Bessembinder, H., & Lemmon, M. L. (2002) · The Journal of Finance · doi:10.1111/1540-6261.00463 · Cited by 723
A Direct Load Control Model for Virtual Power Plant Management
Ruiz, N., Cobelo, I., & Oyarzabal, J. (2009) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2009.2016607 · Cited by 610
Cited by
Hoang, A. T., Pham, V. V., & Nguyen, X. P. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.127161 · Cited by 663
O’Dwyer, E., Pan, I., Acha, S., & Shah, N. (2019) · Applied Energy · doi:10.1016/j.apenergy.2019.01.024 · Cited by 410
From demand response to integrated demand response: review and prospect of research and application
Huang, W., Zhang, N., Kang, C., Li, M., & Huo, M. (2019) · Protection and Control of Modern Power Systems · doi:10.1186/s41601-019-0126-4 · Cited by 312
Zhu, H., Goh, H. H., Zhang, D., Ahmad, T., Liu, H., Wang, S., Li, S., Liu, T., Dai, H., & Wu, T. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.129809 · Cited by 131
Anees, A., & Chen, Y.-P. P. (2016) · Applied Energy · doi:10.1016/j.apenergy.2015.12.103 · Cited by 70
Metadata
- Authors
- Sheikhi, A., Rayati, M., Bahrami, S., & Mohammad Ranjbar, A.
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2015-03
- Volume
- 6
- Issue
- 2
- Pages
- 675-683
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W1989357193
- Cited by
- 274
- References
- 28
- FWCI
- 13.15
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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