Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/99800
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Electrical and Electronic Engineering | en_US |
| dc.creator | Hua, Z | en_US |
| dc.creator | Li, J | en_US |
| dc.creator | Zhou, B | en_US |
| dc.creator | Or, SW | en_US |
| dc.creator | Chan, KW | en_US |
| dc.creator | Meng, Y | en_US |
| dc.date.accessioned | 2023-07-21T01:07:29Z | - |
| dc.date.available | 2023-07-21T01:07:29Z | - |
| dc.identifier.issn | 0360-5442 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/99800 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Pergamon Press | en_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.rights | The 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.subject | Bi-level optimization | en_US |
| dc.subject | Demand response | en_US |
| dc.subject | Energy hub | en_US |
| dc.subject | Multi-energy trading | en_US |
| dc.subject | Optimal pricing | en_US |
| dc.subject | Renewable energy | en_US |
| dc.title | Game-theoretic multi-energy trading framework for strategic biogas-solar renewable energy provider with heterogeneous consumers | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 260 | en_US |
| dc.identifier.doi | 10.1016/j.energy.2022.125018 | en_US |
| dcterms.abstract | This 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.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Energy, 1 Dec. 2022, v. 260, 125018 | en_US |
| dcterms.isPartOf | Energy | en_US |
| dcterms.issued | 2022-12-01 | - |
| dc.identifier.scopus | 2-s2.0-85136309063 | - |
| dc.identifier.eissn | 1873-6785 | en_US |
| dc.identifier.artn | 125018 | en_US |
| dc.description.validate | 202307 bcww | en_US |
| dc.description.oa | Accepted Manuscript | en_US |
| dc.identifier.FolderNumber | a2310 | - |
| dc.identifier.SubFormID | 47452 | - |
| dc.description.fundingSource | RGC | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | Innovation and Technology Commission of the HKSAR Government to the Hong Kong Branch of National Rail Transit Electrification and Automation Engineering Technology Research Center | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Hua_Game-theoretic_Multi-energy_Trading.pdf | Pre-Published version | 2.08 MB | Adobe PDF | View/Open |
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