Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/93442
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 | Cao, Y | en_US |
dc.creator | Chan, KW | en_US |
dc.creator | Xu, Y | en_US |
dc.creator | Cao, M | 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/10397/93442 | - |
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 B. Zhou et al., "Multiobjective Generation Portfolio of Hybrid Energy Generating Station for Mobile Emergency Power Supplies," in IEEE Transactions on Smart Grid, vol. 9, no. 6, pp. 5786-5797, Nov. 2018 is available at https://doi.org/10.1109/TSG.2017.2696982 | en_US |
dc.subject | Emergency power supply | en_US |
dc.subject | Hybrid energy system | en_US |
dc.subject | Mobile microgrid | en_US |
dc.subject | Optimal sizing | en_US |
dc.subject | Renewable energy | en_US |
dc.title | Multiobjective generation portfolio of hybrid energy generating station for mobile emergency power supplies | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 5786 | en_US |
dc.identifier.epage | 5797 | en_US |
dc.identifier.volume | 9 | en_US |
dc.identifier.issue | 6 | en_US |
dc.identifier.doi | 10.1109/TSG.2017.2696982 | en_US |
dcterms.abstract | This paper proposes a mixed generation portfolio model of hybrid energy generating station (HEGS) for standby emergency power supply (EPS). The HEGS functions as a mobile and transportable reserve power source for critical loads in case of electricity outages. In the proposed model, various renewable and non-renewable energy sources with different mobility, energy density, and power density characteristics are integrated to form a sufficient and reliable hybrid energy EPS system, and the uncertainties of demand load, wind speed, solar radiation intensity, as well as solar cell temperature are modeled as interval numbers to formulate the optimal sizing problem of HEGS under uncertainty into a deterministic combinatorial optimization model. Furthermore, the multiobjective generation portfolio model of EPS configuration is also designed to generate Pareto frontier between implementation cost reduction and mobility improvement. Four generic evaluation metrics are formulated to evaluate the resulting generation-mix schemes of HEGS with case study demonstrated the effectiveness and superiority of the proposed model. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE transactions on smart grid, Nov. 2018, v. 9, no. 6, 7907164, p. 5786-5797 | en_US |
dcterms.isPartOf | IEEE transactions on smart grid | en_US |
dcterms.issued | 2018-11 | - |
dc.identifier.scopus | 2-s2.0-85055447295 | - |
dc.identifier.eissn | 1949-3061 | en_US |
dc.identifier.artn | 7907164 | en_US |
dc.description.validate | 202206 bchy | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | EE-0308 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Sino-U.S. International Science and Technology Cooperaation Project; National Natural Science Foundation of China; The Hong Kong Polytechnic University | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 26687248 | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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Chan_Multiobjective_Generation_Portfolio.pdf | Pre-Published version | 1.08 MB | Adobe PDF | View/Open |
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