A hierarchical predictive control for supercapacitor-retrofitted grid-connected hybrid renewable systems

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dc.contributor.author Masaki, Mukalo Sandro
dc.contributor.author Zhang, Lijun
dc.contributor.author Xia, Xiaohua
dc.date.accessioned 2019-07-25T09:44:22Z
dc.date.issued 2019-05
dc.description.abstract This paper presents a two-layer control strategy designed for easy integration of supercapacitors in a grid-integrated solar photovoltaic-battery hybrid renewable system, initially controlled by a typical model predictive control method. To operate the upgraded energy system, either without or with little modifications of the pre-existing architecture, an additional control layer is applied at the bottom of the original control system. Considering the complementary characteristics of batteries and supercapacitors, the design of the new model predictive control layer and its coordination with the original one help to deliver a stable power flow between the hybrid renewable system and the utility grid, and remove fast variations from the battery power. Actual measurements of solar radiation in South Africa are used to test the effectiveness of the proposed strategy. Simulations carried out on a 1-MW photovoltaic plant confirm the benefits in terms of adherence to power quality regulations, improved conditioning of the power generated by the intermittent renewable sources, and lifetime extension of the battery. en_ZA
dc.description.department Electrical, Electronic and Computer Engineering en_ZA
dc.description.embargo 2020-05-15
dc.description.librarian hj2019 en_ZA
dc.description.uri http://www.elsevier.com/locate/apenergy en_ZA
dc.identifier.citation Masaki, M.S., Zhang, L. & Xia, X. 2019, 'A hierarchical predictive control for supercapacitor-retrofitted grid-connected hybrid renewable systems', Applied Energy, vol. 242, pp. 393-402. en_ZA
dc.identifier.isbn 10.1016/j.apenergy.2019.03.049
dc.identifier.issn 0306-2619 (print)
dc.identifier.issn 1872-9118 (online)
dc.identifier.uri http://hdl.handle.net/2263/70795
dc.language.iso en en_ZA
dc.publisher Elsevier en_ZA
dc.rights © 2019 Elsevier Ltd. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Applied Energy. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Applied Energy, vol. 242, pp. 393-402, 2019, doi : 10.1016/j.apenergy.2019.03.049. en_ZA
dc.subject Renewable energy en_ZA
dc.subject Model predictive control en_ZA
dc.subject Supercapacitor en_ZA
dc.subject Hybrid energy storage system en_ZA
dc.subject Power smoothing en_ZA
dc.title A hierarchical predictive control for supercapacitor-retrofitted grid-connected hybrid renewable systems en_ZA
dc.type Postprint Article en_ZA


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