Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/93943
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electrical Engineering | en_US |
dc.creator | Cao, Y | en_US |
dc.creator | Zhou, B | en_US |
dc.creator | Or, SW | en_US |
dc.creator | Chan, KW | en_US |
dc.creator | Liu, N | en_US |
dc.creator | Zhang, K | en_US |
dc.date.accessioned | 2022-08-03T08:49:24Z | - |
dc.date.available | 2022-08-03T08:49:24Z | - |
dc.identifier.issn | 0959-6526 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/93943 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | © 2021 Elsevier Ltd. All rights reserved. | en_US |
dc.rights | © 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. | en_US |
dc.rights | The following publication Cao, Y., et al. (2021). "An interactive tri-level multi-energy management strategy for heterogeneous multi-microgrids." Journal of Cleaner Production 319: 128716. is available at https://dx.doi.org/10.1016/j.jclepro.2021.128716. | en_US |
dc.subject | Many-criteria optimality | en_US |
dc.subject | Multi-energy management | en_US |
dc.subject | Multi-level scheduling | en_US |
dc.subject | Multi-microgrids | en_US |
dc.subject | Renewable energy | en_US |
dc.title | An interactive tri-level multi-energy management strategy for heterogeneous multi-microgrids | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 319 | en_US |
dc.identifier.doi | 10.1016/j.jclepro.2021.128716 | en_US |
dcterms.abstract | This paper proposes a multi-level multi-energy management framework for the coordinated and interactive operation of heterogeneous multi-microgrids (MMGs) based on many-criteria optimality. With the proposed framework, the highly nonlinear and complex MMG multi-energy management (MMGMEM) problem is formulated into tri-level scheduling subproblems with multi-energy couplings and multi-level interactions, in which the multi-energy trading with energy networks and multi-energy couplings within MGs are optimized in the upper and middle level, and a middle level is added to correct scheduling decisions of the upper level for coordinating the MMG multi-energy sharing. Then, a multi-step matrix decomposition technique is developed to decompose the high dimensional multi-energy coupling matrix of MMGs into the sum of three linear and sparse submatrices for improving the computation efficiency and scalability. Furthermore, a many-criteria decision making (MCDM) model is proposed for the multi-energy sharing problem to achieve an optimum tradeoff in which all microgrids (MGs) can benefit from electricity-gas exchanges, and an evolutionary many-objective optimization based on hyperplane transformation algorithm is used to solve the MCDM problem. Simulation results verify that the proposed framework can achieve a cost saving for each MG (over 19%), and validate its scalability in solving large-scale MMGMEM problems. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Journal of cleaner production, 15 Oct. 2021, v. 319, 128716 | en_US |
dcterms.isPartOf | Journal of cleaner production | en_US |
dcterms.issued | 2021-10-15 | - |
dc.identifier.scopus | 2-s2.0-85113398673 | - |
dc.identifier.artn | 128716 | en_US |
dc.description.validate | 202205 bchy | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | EE-0006 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingText | Innovation and Technology Commission of the HKSAR Goverment to the Hong Kong Branch of National Rail Transit Electrification and Automation Engineering Technology Research Center; National Natural Science Foundation of China; State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 55448872 | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Cao_Interactive_Tri-Level_Multi-Energy.pdf | Pre-Published version | 2.02 MB | Adobe PDF | View/Open |
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