Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/93390
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electrical Engineering | en_US |
dc.creator | Shan, Y | en_US |
dc.creator | Hu, J | en_US |
dc.creator | Chan, KW | en_US |
dc.creator | Islam, S | en_US |
dc.date.accessioned | 2022-06-21T08:23:25Z | - |
dc.date.available | 2022-06-21T08:23:25Z | - |
dc.identifier.issn | 1551-3203 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/93390 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 2021 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. Shan, J. Hu, K. W. Chan and S. Islam, "A Unified Model Predictive Voltage and Current Control for Microgrids With Distributed Fuzzy Cooperative Secondary Control," in IEEE Transactions on Industrial Informatics, vol. 17, no. 12, pp. 8024-8034, Dec. 2021 is available at https://doi.org/10.1109/TII.2021.3063282 | en_US |
dc.subject | Control systems | en_US |
dc.subject | Cost function | en_US |
dc.subject | Current control | en_US |
dc.subject | Distributed fuzzy secondary control | en_US |
dc.subject | Droop control | en_US |
dc.subject | Frequency control | en_US |
dc.subject | Microgrids | en_US |
dc.subject | Model predictive control | en_US |
dc.subject | Predictive models | en_US |
dc.subject | Voltage control | en_US |
dc.title | A unified model predictive voltage and current control for microgrids with distributed fuzzy cooperative secondary control | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 8024 | en_US |
dc.identifier.epage | 8034 | en_US |
dc.identifier.volume | 17 | en_US |
dc.identifier.issue | 12 | en_US |
dc.identifier.doi | 10.1109/TII.2021.3063282 | en_US |
dcterms.abstract | A microgrid formed by distributed generation (DG) units is capable of operating in islanded and grid-connected modes. Traditionally, by using model predictive control (MPC), these two operation modes can be achieved with two separate cost functions, which brings in control complexity and hence, compromises reliability. In this paper, a unified model predictive voltage and current control (UMPVIC) strategy is proposed. Specifically, the cost function is kept unified with voltage and current taken into account without altering the control architecture. A high-quality voltage is generated in islanded mode and a bidirectional power flow is achieved in grid-connected mode. In addition, by only using DGs own and neighbouring information, a secondary distributed fuzzy cooperative algorithm is developed to mitigate voltage/frequency deviations. The fuzzy controller can optimize the secondary control coefficients for further voltage quality improvement. Comprehensive tests under various scenarios demonstrate the merits of the proposed control strategy over traditional methods. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE transactions on industrial informatics, Dec. 2021, v. 17, no. 12, p. 8024-8034 | en_US |
dcterms.isPartOf | IEEE transactions on industrial informatics | en_US |
dcterms.issued | 2021-12 | - |
dc.identifier.scopus | 2-s2.0-85102315709 | - |
dc.identifier.eissn | 1941-0050 | en_US |
dc.description.validate | 202206 bchy | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | EE-0051 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Fundamental Research Funds for the Central Universities; School of Engineering, IT and Physical Sciences, Federation University Australia | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 54440761 | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Shan_Unified_Model_Predictive.pdf | Pre-Published version | 1.55 MB | Adobe PDF | View/Open |
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