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DC Field | Value | Language |
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dc.contributor.author | Chen, W | - |
dc.contributor.author | Wang, Z | - |
dc.contributor.author | Hu, J | - |
dc.contributor.author | Han, Q-L | - |
dc.contributor.author | Liu, G-P | - |
dc.date.accessioned | 2024-03-19T14:51:51Z | - |
dc.date.available | 2024-01-24 | - |
dc.date.available | 2024-03-19T14:51:51Z | - |
dc.date.issued | 2024-01-24 | - |
dc.identifier | ORCiD: Wei Chen https://orcid.org/0000-0002-6225-2110 | - |
dc.identifier | ORCiD: Zidong Wang https://orcid.org/0000-0002-9576-7401 | - |
dc.identifier | ORCiD: Jun Hu https://orcid.org/0000-0002-7852-5064 | - |
dc.identifier | ORCiD: Qing-Long Han https://orcid.org/0000-0002-7207-0716 | - |
dc.identifier | ORCiD: Guo-Ping Liu https://orcid.org/0000-0002-0699-2296 | - |
dc.identifier.citation | Chen, W. et al. (2024) 'Privacy-Preserving Distributed Economic Dispatch of Microgrids Using Edge-Based Additive Perturbations: An Accelerated Consensus Algorithm', IEEE Transactions on Systems, Man, and Cybernetics: Systems, 0 (early access), pp. 1 - 13. doi: 10.1109/TSMC.2023.3344885. | en_US |
dc.identifier.issn | 2168-2216 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/28577 | - |
dc.description.abstract | This article investigates the privacy-preserving distributed economic dispatch (DED) problem of islanded microgrids. To improve the convergence rate of the DED algorithm, an accelerated consensus scheme is adopted by utilizing a short memory. Then, a privacy-preserving strategy is introduced to prevent sensitive information leakage by adding well-designed perturbations into the proposed consensus algorithm at the initial time instant. The primary objective of this article is to design a privacy-preserving accelerated consensus scheme to achieve a balance between supply and demand at the globally minimized cost while preserving the initial local demand information. By virtue of rigorous algebra manipulation and mathematical induction, a unified framework is established under which the convergence, the optimal convergence rate, and the optimality of the proposed DED algorithm are simultaneously analyzed, and the main results are extended to satisfy the privacy-preserving needs. Furthermore, the proposed privacy-preserving DED algorithm is shown to be resilient against both internal (honest-but-curious) and external eavesdroppers. Finally, the effectiveness of the developed privacy-preserving accelerated consensus algorithm is validated on the IEEE 39-bus power systems. | en_US |
dc.description.sponsorship | 10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 62303210, 62173255, 62188101 and 12171124); Guangdong Basic and Applied Basic Research Foundation of China (Grant Number: 2022A1515110459); Shenzhen Science and Technology Program of China (Grant Number: RCBS20221008093348109); Shenzhen Key Laboratory of Control Theory and Intelligent Systems (Grant Number: ZDSYS20220330161800001); Natural Science Foundation of Heilongjiang Province of China (Grant Number: ZD2022F003). | en_US |
dc.format.extent | 1 - 13 | - |
dc.format.medium | Print-Electronic | - |
dc.language | English | - |
dc.language.iso | en_US | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.rights | Copyright © 2023 Institute of Electrical and Electronics Engineers (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 by sending a request to pubs-permissions@ieee.org. See https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ for more information | - |
dc.rights.uri | https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ | - |
dc.subject | accelerated consensus algorithm | en_US |
dc.subject | distributed economic dispatch (DED) | en_US |
dc.subject | edge-based additive perturbations | en_US |
dc.subject | microgrids | en_US |
dc.subject | privacy preservation | en_US |
dc.title | Privacy-Preserving Distributed Economic Dispatch of Microgrids Using Edge-Based Additive Perturbations: An Accelerated Consensus Algorithm | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1109/TSMC.2023.3344885 | - |
dc.relation.isPartOf | IEEE Transactions on Systems, Man, and Cybernetics: Systems | - |
pubs.issue | early access | - |
pubs.publication-status | Published | - |
pubs.volume | 0 | - |
dc.identifier.eissn | 2168-2232 | - |
dc.rights.holder | Institute of Electrical and Electronics Engineers (IEEE) | - |
Appears in Collections: | Dept of Computer Science Research Papers |
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FullText.pdf | Copyright © 2023 Institute of Electrical and Electronics Engineers (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 by sending a request to pubs-permissions@ieee.org. See https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ for more information | 4.13 MB | Adobe PDF | View/Open |
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