Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/93445
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electrical Engineering | en_US |
dc.creator | Zhou, B | en_US |
dc.creator | Xu, D | en_US |
dc.creator | Li, C | en_US |
dc.creator | Chung, CY | en_US |
dc.creator | Cao, Y | en_US |
dc.creator | Chan, KW | en_US |
dc.creator | Wu, Q | en_US |
dc.date.accessioned | 2022-06-21T08:23:48Z | - |
dc.date.available | 2022-06-21T08:23:48Z | - |
dc.identifier.issn | 0885-8950 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/93445 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 2018 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 B. Zhou et al., "Optimal Scheduling of Biogas–Solar–Wind Renewable Portfolio for Multicarrier Energy Supplies," in IEEE Transactions on Power Systems, vol. 33, no. 6, pp. 6229-6239, Nov. 2018 is available at https://doi.org/10.1109/TPWRS.2018.2833496 | en_US |
dc.subject | Energy hub | en_US |
dc.subject | Energy storage | en_US |
dc.subject | Microgrid | en_US |
dc.subject | Multienergy systems | en_US |
dc.subject | Renewable energy | en_US |
dc.title | Optimal scheduling of biogas-solar-wind renewable portfolio for multicarrier energy supplies | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 6229 | en_US |
dc.identifier.epage | 6239 | en_US |
dc.identifier.volume | 33 | en_US |
dc.identifier.issue | 6 | en_US |
dc.identifier.doi | 10.1109/TPWRS.2018.2833496 | en_US |
dcterms.abstract | This paper proposes a multisource multiproduct framework for coupled multicarrier energy supplies with a biogas-solar-wind hybrid renewable system. In this framework, the biogas-solar-wind complementarities are fully exploited based on digesting thermodynamic effects for the synergetic interactions of electricity, gas, and heating energy flows, and a coupling matrix is formulated for the modeling of production, conversion, storage, and consumption of different energy carriers. The multienergy complementarity of biogas-solar-wind renewable portfolio can be utilized to facilitate the mitigation of renewable intermittency and the efficient utilization of batteries, and a multicarrier generation scheduling scheme is further presented to dynamically optimize dispatch factors in the coupling matrix for energy-efficient conversion and storage, while different energy demands of end-users are satisfied. The proposed methodology has been fully tested and benchmarked on a stand-alone Microgrid over a 24-h scheduling horizon. Comparative results demonstrate that the proposed scheme can lower the battery charging/discharging actions as well as the degradation cost, and also confirm its capability to accommodate high penetration of variable renewables. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE transactions on power systems, Nov. 2018, v. 33, no. 6, p. 6229-6239 | en_US |
dcterms.isPartOf | IEEE transactions on power systems | en_US |
dcterms.issued | 2018-11 | - |
dc.identifier.scopus | 2-s2.0-85046418880 | - |
dc.identifier.eissn | 1558-0679 | en_US |
dc.description.validate | 202206 bchy | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | EE-0304 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China; Hunan Strategic Industries Scientific and Technological Project; Hunan Natural Science Foundation of China | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 6837496 | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Chan_Optimal_Scheduling_Biogas-Solar-Wind.pdf | Pre-Published version | 3.74 MB | Adobe PDF | View/Open |
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