Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/93443
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electrical Engineering | en_US |
dc.creator | Yang, Y | en_US |
dc.creator | Tan, SC | en_US |
dc.creator | Hui, SYR | en_US |
dc.date.accessioned | 2022-06-21T08:23:48Z | - |
dc.date.available | 2022-06-21T08:23:48Z | - |
dc.identifier.issn | 1949-3053 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/93443 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.rights | The following publication Y. Yang, S. Tan and S. Y. R. Hui, "Mitigating Distribution Power Loss of DC Microgrids With DC Electric Springs," in IEEE Transactions on Smart Grid, vol. 9, no. 6, pp. 5897-5906, Nov. 2018 is available at https://doi.org/10.1109/TSG.2017.2698578 | en_US |
dc.subject | Adaptive weighting factors | en_US |
dc.subject | Centralized model predictive control (CMPC) | en_US |
dc.subject | DC electric springs (DCES) | en_US |
dc.subject | DC microgrids | en_US |
dc.subject | Distribution power loss | en_US |
dc.subject | Non-adaptive weighting factors | en_US |
dc.title | Mitigating distribution power loss of dc microgrids with DC electric springs | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 5897 | en_US |
dc.identifier.epage | 5906 | en_US |
dc.identifier.volume | 9 | en_US |
dc.identifier.issue | 6 | en_US |
dc.identifier.doi | 10.1109/TSG.2017.2698578 | en_US |
dcterms.abstract | DC microgrids fed with substantial intermittent renewable energy sources face the immediate problem of power imbalance and the subsequent dc bus voltage fluctuation problem (that can easily breach power system standards). It has recently been demonstrated that dc electric springs (DCES), when connected with series non-critical loads, are capable of stabilizing the voltage of local nodes and improving the power quality of dc microgrids without large energy storage. In this paper, two centralized model predictive control (CMPC) schemes with: 1) non-adaptive weighting factors and 2) adaptive weighting factors are proposed to extend the existing functions of the DCES in the microgrid. The control schemes coordinate the DCES to mitigate the distribution power loss in the dc microgrids, while simultaneously providing their original function of dc bus voltage regulation. Using the DCES model that was previously validated with experiments, simulations based on MATLAB/Simulink platform are conducted to validate the control schemes. The results show that with the proposed CMPC schemes, the DCES are capable of eliminating the bus voltage offsets as well as reducing the distribution power loss of the dc microgrid. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE transactions on smart grid, Nov. 2018, v. 9, no. 6, 7913724, p. 5897-5906 | en_US |
dcterms.isPartOf | IEEE transactions on smart grid | en_US |
dcterms.issued | 2018-11 | - |
dc.identifier.scopus | 2-s2.0-85055417812 | - |
dc.identifier.eissn | 1949-3061 | en_US |
dc.identifier.artn | 7913724 | en_US |
dc.description.validate | 202206 bchy | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | EE-0307 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 43296112 | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Yang_Mitigating_Distribution_Power.pdf | Pre-Published version | 1.39 MB | Adobe PDF | View/Open |
Page views
39
Last Week
0
0
Last month
Citations as of May 12, 2024
Downloads
28
Citations as of May 12, 2024
SCOPUSTM
Citations
68
Citations as of May 17, 2024
WEB OF SCIENCETM
Citations
56
Citations as of May 16, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.