Control and estimation techniques applied to smart microgrids : a review

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dc.contributor.author Mbungu, Nsilulu Tresor
dc.contributor.author Ismail, Ali A.
dc.contributor.author AlShabi, Mohammad
dc.contributor.author Bansal, Ramesh C.
dc.contributor.author Elnady, A.
dc.contributor.author Hamid, Abdul Kadir
dc.date.accessioned 2023-07-24T13:05:00Z
dc.date.available 2023-07-24T13:05:00Z
dc.date.issued 2023-06
dc.description DATA AVAILABILITY : No data was used for the research described in the article. en_US
dc.description.abstract The performance of microgrid operation requires hierarchical control and estimation schemes that coordinate and monitor the system dynamics within the expected manipulated and control variables. Smart grid technologies possess innovative tools and frameworks to model the dynamic behaviour of microgrids regardless of their types, structures, etc. Various control and estimation technologies are reviewed for developing dynamic models of smart microgrids. The hierarchical system of a microgrid control consists of three architectural layers, primary, secondary and tertiary, which need to be supported by real-time monitoring and measurement environment of the system variables and parameters. Various control and estimation schemes have been devised to handle the dynamic performance of microgrids in the function of control layers requirement. Firstly, control schemes in the innovative grid environment are evaluated to understand the dynamics of the developed technologies. Six control technologies, linear, non-linear, robust, predictive, intelligent and adaptive, are mainly used to model the control design within the layer(s) regardless of the types of microgrids. Secondly, the estimation technologies are evaluated based on the state of variables, locations and modelling of microgrids that can efficiently support the performance of the controllers and operating microgrids. Finally, a future vision for designing hierarchical and architectural control techniques for the optimal operation of intelligent microgrids is also provided. Therefore, this study will serve as a fundamental conceptual framework to select a perfect optimal design modelling strategy and policy-making decisions to control, monitor and protect the innovative electrical network. en_US
dc.description.department Electrical, Electronic and Computer Engineering en_US
dc.description.librarian hj2023 en_US
dc.description.uri http://www.elsevier.com/locate/rser en_US
dc.identifier.citation Mbungu, N.T., Ismail, A.A., AlShabi, M. et al. 2023, 'Control and estimation techniques applied to smart microgrids : a review', Renewable and Sustainable Energy Reviews, vol. 179, art. 113251, pp. 1-21, doi : 10.1016/j.rser.2023.113251. en_US
dc.identifier.issn 1364-0321 (print)
dc.identifier.issn 1879-0690 (online)
dc.identifier.other 10.1016/j.rser.2023.113251
dc.identifier.uri http://hdl.handle.net/2263/91602
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.rights © 2022 Elsevier Ltd. All rights reserved. Notice : this is the author’s version of a work that was submitted for publication in Renewable and Sustainable Energy Reviews. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms are not reflected in this document. A definitive version was subsequently published in Renewable and Sustainable Energy Reviews, vol. 179, art. 113251, pp. 1-21, doi : 10.1016/j.rser.2023.113251. en_US
dc.subject Control design en_US
dc.subject Digitisation en_US
dc.subject Distributed energy generation en_US
dc.subject Distributed energy system en_US
dc.subject Energy storage system en_US
dc.subject Optimal control en_US
dc.subject Renewable energy system en_US
dc.subject Smart grids en_US
dc.subject State estimation en_US
dc.subject SDG-07: Affordable and clean energy en_US
dc.title Control and estimation techniques applied to smart microgrids : a review en_US
dc.type Preprint Article en_US


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