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Incremental Welfare Consensus Algorithm for Cooperative Distributed Generation/Demand Response in Smart Grid
Abstract
In this paper, we introduce the incremental welfare consensus algorithm for solving the energy management problem in a smart grid environment populated with distributed generators and responsive demands. The proposed algorithm is distributed and cooperative such that it eliminates the need for a central energy-management unit, central price coordinator, or leader. The optimum energy solution is found through local peer-to-peer communications among smart devices. Each distributed generation unit is connected to a local price regulator, as is each consumer unit. In response to the price of energy proposed by the local price regulators, the power regulator on each generation/consumer unit determines the level of generation/consumption power needed to optimize the benefit of the device. The consensus-based coordination among price regulators drives the behavior of the overall system toward the global optimum, despite the greedy behavior of each unit. The primary advantages of the proposed approach are: 1) convergence to the global optimum without requiring a central controller/coordinator or leader, despite the greedy behavior at the individual level and limited communications; and 2) scalability in terms of per-node computation and communications burden.
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Boyd, S., Parikh, N., Chu, E., Peleato, B., & Eckstein, J. (2011) · Foundations and Trends® in Machine Learning · doi:10.1561/2200000016 · Cited by 17,075
Consensus and Cooperation in Networked Multi-Agent Systems
Olfati-Saber, R., Fax, J. A., & Murray, R. M. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.887293 · Cited by 10,522
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Local flexibility markets: Literature review on concepts, models and clearing methods
Jin, X., Wu, Q., & Jia, H. (2020) · Applied Energy · doi:10.1016/j.apenergy.2019.114387 · Cited by 373
Distributed Optimal Energy Management for Energy Internet
Zhang, H., Li, Y., Gao, D. W., & Zhou, J. (2017) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2017.2714199 · Cited by 284
Metadata
- Authors
- Rahbari-Asr, N., Ojha, U., Zhang, Z., & Chow, M.-Y.
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2014-11
- Volume
- 5
- Issue
- 6
- Pages
- 2836-2845
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W2042290665
- Cited by
- 309
- References
- 2
- FWCI
- 13.97
- Type
- journal article
- Language
- en
- Open access
- closed
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- Rahbari-Asr, N., Ojha, U., Zhang, Z., & Chow, M.-Y. (2014). Incremental Welfare Consensus Algorithm for Cooperative Distributed Generation/Demand Response in Smart Grid. IEEE Transactions on Smart Grid. https://doi.org/10.1109/tsg.2014.2346511
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