Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/93949
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electrical Engineering | en_US |
dc.creator | Hu, J | en_US |
dc.creator | Shan, Y | en_US |
dc.creator | Guerrero, JM | en_US |
dc.creator | Ioinovici, A | en_US |
dc.creator | Chan, KW | en_US |
dc.creator | Rodriguez, J | en_US |
dc.date.accessioned | 2022-08-03T08:49:27Z | - |
dc.date.available | 2022-08-03T08:49:27Z | - |
dc.identifier.issn | 1364-0321 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/93949 | - |
dc.language.iso | en | en_US |
dc.publisher | Pergamon Press | en_US |
dc.rights | © 2020 Elsevier Ltd. All rights reserved. | en_US |
dc.rights | © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. | en_US |
dc.rights | The following publication 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, 136, 110422 is available at https://doi.org/10.1016/j.rser.2020.110422. | en_US |
dc.subject | Hierarchical control | en_US |
dc.subject | Microgrid | en_US |
dc.subject | Model predictive control | en_US |
dc.subject | Primary control | en_US |
dc.subject | Secondary control | en_US |
dc.subject | Tertiary control | en_US |
dc.title | Model predictive control of microgrids - an overview | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 136 | en_US |
dc.identifier.doi | 10.1016/j.rser.2020.110422 | en_US |
dcterms.abstract | 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. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Renewable and sustainable energy reviews, Feb. 2021, v. 136, 110422 | en_US |
dcterms.isPartOf | Renewable and sustainable energy reviews | en_US |
dcterms.issued | 2021-02 | - |
dc.identifier.scopus | 2-s2.0-85092326019 | - |
dc.identifier.eissn | 1879-0690 | en_US |
dc.identifier.artn | 110422 | en_US |
dc.description.validate | 202205 bchy | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | EE-0040 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | School of Engineering, IT and Physical Sciences, Federation University Australia | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 54441535 | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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Hu_Model_Predictive_Control.pdf | Pre-Published versions | 819.22 kB | Adobe PDF | View/Open |
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