Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/99800
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dc.contributorDepartment of Electrical and Electronic Engineeringen_US
dc.creatorHua, Zen_US
dc.creatorLi, Jen_US
dc.creatorZhou, Ben_US
dc.creatorOr, SWen_US
dc.creatorChan, KWen_US
dc.creatorMeng, Yen_US
dc.date.accessioned2023-07-21T01:07:29Z-
dc.date.available2023-07-21T01:07:29Z-
dc.identifier.issn0360-5442en_US
dc.identifier.urihttp://hdl.handle.net/10397/99800-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.rights© 2022 Published by Elsevier Ltd.en_US
dc.rights© 2022. 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.rightsThe following publication Hua, Zhihao; Li, Jiayong; Zhou, Bin; Or, Siu Wing; Chan, Ka Wing; Meng, Yunfan(2022). Game-theoretic multi-energy trading framework for strategic biogas-solar renewable energy provider with heterogeneous consumers. Energy, 260, 125018 is available at https://doi.org/10.1016/j.energy.2022.125018.en_US
dc.subjectBi-level optimizationen_US
dc.subjectDemand responseen_US
dc.subjectEnergy huben_US
dc.subjectMulti-energy tradingen_US
dc.subjectOptimal pricingen_US
dc.subjectRenewable energyen_US
dc.titleGame-theoretic multi-energy trading framework for strategic biogas-solar renewable energy provider with heterogeneous consumersen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume260en_US
dc.identifier.doi10.1016/j.energy.2022.125018en_US
dcterms.abstractThis paper proposes a game-theoretic multi-energy trading framework for a biogas-solar renewable energy provider with heterogeneous consumers to promote the efficient utilization of local renewable energy resources. Within the proposed framework, the multi-energy provider utilizes biogas-solar complementarities to enhance the operational flexibility for electricity, biogas, and heat energy supplies, and consumers are enabled to actively participate in demand response under different multi-energy prices from the provider and UCs. A multi-energy pricing model is then proposed based on the Stackelberg game to interactively and dynamically determine the internal trading prices for optimal multi-energy trading between the provider and consumers. Furthermore, a bi-level optimization method is formulated to solve the Stackelberg game-based multi-energy trading problem to maximize the provider's profit at the upper level and the welfare of each consumer at the lower level. Case studies show that the provider's profit is improved by 33.7% using the proposed scheme compared with the benchmark scheme, and meanwhile the average welfare of consumers for consuming biogas and electricity are approximately 3.0 and 1.4 times greater than those using the benchmark scheme.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEnergy, 1 Dec. 2022, v. 260, 125018en_US
dcterms.isPartOfEnergyen_US
dcterms.issued2022-12-01-
dc.identifier.scopus2-s2.0-85136309063-
dc.identifier.eissn1873-6785en_US
dc.identifier.artn125018en_US
dc.description.validate202307 bcwwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera2310-
dc.identifier.SubFormID47452-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextInnovation and Technology Commission of the HKSAR Government to the Hong Kong Branch of National Rail Transit Electrification and Automation Engineering Technology Research Centeren_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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