The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Distributed Control Techniques in Microgrids
Abstract
The objective of this paper is to provide a review of distributed control and management strategies for the next generation power system in the context of microgrids. This paper also identifies future research directions. The next generation power system, also referred to as the smart grid, is distinct from the existing power system due to its extensive use of integrated communication, advanced components such as power electronics, sensing, and measurement, and advanced control technologies. At the same time, the need for increased number of small distributed and renewable energy resources can exceed the capabilities of an available computational resource. Therefore, the recent literature has seen a significant research effort on dividing the control task among different units, which gives rise to the development of several distributed techniques. This paper discusses features and characteristics of these techniques, and identifies challenges and opportunities ahead. The paper also discusses the relationship between distributed control and hierarchical control.
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Citations
Cites
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 · cited 2×
“Study of unconstrained consensus algorithms in a distributed environment is discussed in [45] and [47], and extension to the constrained case is discussed in [45] and [47]–[52].”
BackgroundCoordination of groups of mobile autonomous agents using nearest neighbor rules
Jadbabaie, A., Lin, J., & Morse, A. S. (2003) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2003.812781 · Cited by 8,339
Guerrero, J. M., Vasquez, J. C., Matas, J., de Vicuna, L. G., & Castilla, M. (2011) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2010.2066534 · Cited by 5,075
Distributed Subgradient Methods for Multi-Agent Optimization
Nedic, A., & Ozdaglar, A. (2009) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2008.2009515 · Cited by 3,719
Olivares, D. E., Mehrizi-Sani, A., Etemadi, A. H., Canizares, C. A., Iravani, R., Kazerani, M., Hajimiragha, A. H., Gomis-Bellmunt, O., Saeedifard, M., Palma-Behnke, R., et al. (2014) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2013.2295514 · Cited by 3,137
Self-citationDistributed asynchronous deterministic and stochastic gradient optimization algorithms
Tsitsiklis, J., Bertsekas, D., & Athans, M. (1986) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1986.1104412 · Cited by 1,967
Cited by
Review of Power Sharing Control Strategies for Islanding Operation of AC Microgrids
Han, H., Hou, X., Yang, J., Wu, J., Su, M., & Guerrero, J. M. (2016) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2015.2434849 · Cited by 988
Antoniadou-Plytaria, K. E., Kouveliotis-Lysikatos, I. N., Georgilakis, P. S., & Hatziargyriou, N. D. (2017) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2017.2679238 · Cited by 545
Review on Control of DC Microgrids
Meng, L., Shafiee, Q., Ferrari Trecate, G., Karimi, H., Fulwani, D., Lu, X., & Guerrero, J. M. (2017) · IEEE Journal of Emerging and Selected Topics in Power Electronics · doi:10.1109/jestpe.2017.2690219 · Cited by 513
Hybrid AC–DC Microgrid: Systematic Evaluation of Control Strategies
Gupta, A., Doolla, S., & Chatterjee, K. (2018) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2017.2727344 · Cited by 355
Fang, S., Wang, Y., Gou, B., & Xu, Y. (2020) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2019.2950538 · Cited by 328
Metadata
- Authors
- Yazdanian, M., & Mehrizi-Sani, A.
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2014-11
- Volume
- 5
- Issue
- 6
- Pages
- 2901-2909
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W2095411820
- Cited by
- 727
- References
- 6
- FWCI
- 52.48
- 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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
