The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
Model predictive control of microgrids – An overview
Open accessAbstract
The development of microgrids is an advantageous option for integrating rapidly growing renewable energies. However, the stochastic nature of renewable energies and variable power demand have created many challenges like unstable voltage/frequency and complicated power management and interaction with the utility grid. Recently, predictive control with its fast transient response and flexibility to accommodate different constraints has presented huge potentials in microgrid applications. This paper provides a comprehensive review of model predictive control (MPC) in individual and interconnected microgrids, including both converter-level and grid-level control strategies applied to three layers of the hierarchical control architecture. This survey shows that MPC is at the beginning of the application in microgrids and that it emerges as a competitive alternative to conventional methods in voltage regulation, frequency control, power flow management and economic operation optimization. Also, some of the most important trends in MPC development have been highlighted and discussed as future perspectives.
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Cites
Overview of Control and Grid Synchronization for Distributed Power Generation Systems
Blaabjerg, F., Teodorescu, R., Liserre, M., & Timbus, A. V. (2006) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2006.881997 · Cited by 5,220
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Self-citationLee, J. H., Kaisare, N. S., & García, C. E. (2007) · Springer eBooks · doi:10.1002/9781394333325.fmatter · Cited by 3,766
Control of Power Converters in AC Microgrids
Rocabert, J., Luna, A., Blaabjerg, F., & Rodríguez, P. (2012) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2012.2199334 · Cited by 3,723
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
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Model Predictive Control—A Simple and Powerful Method to Control Power Converters
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Self-citationModel Predictive Control for Power Converters and Drives: Advances and Trends
Vazquez, S., Rodriguez, J., Rivera, M., Franquelo, L. G., & Norambuena, M. (2017) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2016.2625238 · Cited by 1,859
Self-citationState of the Art of Finite Control Set Model Predictive Control in Power Electronics
Rodriguez, J., Kazmierkowski, M. P., Espinoza, J. R., Zanchetta, P., Abu-Rub, H., Young, H. A., & Rojas, C. A. (2013) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2012.2221469 · Cited by 1,802
Self-citationMicrogrids: A review of technologies, key drivers, and outstanding issues
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Cited by
A brief review on microgrids: Operation, applications, modeling, and control
Shahgholian, G. (2021) · International Transactions on Electrical Energy Systems · doi:10.1002/2050-7038.12885 · Cited by 280
Grid integration impacts and control strategies for renewable based microgrid
Fazal, S., Enamul Haque, M., Taufiqul Arif, M., Gargoom, A., & Oo, A. M. T. (2023) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2023.103069 · Cited by 74
Metadata
- Authors
- Hu, J., Shan, Y., Guerrero, J. M., Ioinovici, A., Chan, K. W., & Rodriguez, J.
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2021-02
- Volume
- 136
- Pages
- 110422
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W3092553147
- Cited by
- 451
- References
- 63
- FWCI
- 24.46
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Hu, J., Shan, Y., Guerrero, J. M., Ioinovici, A., Chan, K. W., & Rodriguez, J. (2021). Model predictive control of microgrids – An overview. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2020.110422
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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.
