Online parameters estimation schemes to enhance control performance in DC microgrids
dc.contributor.author | Machado, JE | |
dc.contributor.author | Rinaldi, G | |
dc.contributor.author | Cucuzzella, M | |
dc.contributor.author | Menon, PP | |
dc.contributor.author | Scherpen, JMA | |
dc.contributor.author | Ferrara, A | |
dc.date.accessioned | 2023-06-27T09:07:34Z | |
dc.date.issued | 2023-06-16 | |
dc.date.updated | 2023-06-26T15:51:02Z | |
dc.description.abstract | This paper addresses the problem of achieving current sharing and voltage balancing in DC microgrids when the filter parasitic resistances of the Distributed Generation Units (DGUs) are unknown and potentially time-varying. Two schemes are proposed for current sharing and voltage balancing, which use only generated current and voltage measurements. The first scheme is a novel distributed adaptive control utilising the principles of back-stepping and passivity-based control design, intended for the case of constant parasitic resistances. The second scheme alters an existing stabilising controller for current sharing and voltage balancing by incorporating the estimation of the unknown, possibly time-varying, parasitic resistance. A Super-Twisting Sliding Mode Algorithm (STA) estimates the parasitic resistance and its bounded variations in finite-time. The simulation results using a DC microgrid composed of 4 DGUs demonstrate the performance of the proposed schemes. | en_GB |
dc.description.sponsorship | Dutch Research Council (NWO) | en_GB |
dc.description.sponsorship | European Union Horizon 2020 | en_GB |
dc.description.sponsorship | Innovate UK | en_GB |
dc.format.extent | 100860- | |
dc.identifier.citation | Article 100860 | en_GB |
dc.identifier.doi | https://doi.org/10.1016/j.ejcon.2023.100860 | |
dc.identifier.grantnumber | ESI.2019.005 | en_GB |
dc.identifier.grantnumber | 775970 | en_GB |
dc.identifier.grantnumber | 122045 | en_GB |
dc.identifier.grantnumber | 80492 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/133506 | |
dc.identifier | ORCID: 0000-0003-2021-5458 (Rinaldi, Gianmario) | |
dc.identifier | ScopusID: 57195318992 (Rinaldi, Gianmario) | |
dc.identifier | ORCID: 0000-0003-3804-9291 (Menon, Prathyush P) | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier | en_GB |
dc.rights | © 2023 The Author(s). Published by Elsevier Ltd on behalf of European Control Association. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/) | en_GB |
dc.subject | DC microgrids | en_GB |
dc.subject | Sliding mode control | en_GB |
dc.subject | Observers for nonlinear systems | en_GB |
dc.subject | Parameters estimation | en_GB |
dc.title | Online parameters estimation schemes to enhance control performance in DC microgrids | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2023-06-27T09:07:34Z | |
dc.identifier.issn | 0947-3580 | |
exeter.article-number | 100860 | |
dc.description | This is the final version. Available on open access from Elsevier via the DOI in this record | en_GB |
dc.identifier.journal | European Journal of Control | en_GB |
dc.relation.ispartof | European Journal of Control | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2023-06-08 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2023-06-16 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2023-06-27T09:04:28Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2023-06-27T09:07:37Z | |
refterms.panel | B | en_GB |
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Except where otherwise noted, this item's licence is described as © 2023 The Author(s). Published by Elsevier Ltd on behalf of European Control Association. This is an open access article under the CC BY license
(http://creativecommons.org/licenses/by/4.0/)