Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/93959
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electrical Engineering | en_US |
dc.creator | Gao, X | en_US |
dc.creator | Chan, KW | en_US |
dc.creator | Xia, S | en_US |
dc.creator | Zhou, B | en_US |
dc.creator | Lu, X | en_US |
dc.creator | Xu, D | en_US |
dc.date.accessioned | 2022-08-03T08:49:31Z | - |
dc.date.available | 2022-08-03T08:49:31Z | - |
dc.identifier.issn | 0360-5442 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/93959 | - |
dc.language.iso | en | en_US |
dc.publisher | Pergamon Press | en_US |
dc.rights | © 2019 Elsevier Ltd. All rights reserved. | en_US |
dc.rights | © 2019. 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 Gao, X., Chan, K. W., Xia, S., Zhou, B., Lu, X., & Xu, D. (2019). Risk-constrained offering strategy for a hybrid power plant consisting of wind power producer and electric vehicle aggregator. Energy, 177, 183-191 is available at https://doi.org/10.1016/j.energy.2019.04.048. | en_US |
dc.subject | Electric vehicle | en_US |
dc.subject | Hybrid power plant | en_US |
dc.subject | Offering strategy | en_US |
dc.subject | Renewable energy | en_US |
dc.title | Risk-constrained offering strategy for a hybrid power plant consisting of wind power producer and electric vehicle aggregator | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 183 | en_US |
dc.identifier.epage | 191 | en_US |
dc.identifier.volume | 177 | en_US |
dc.identifier.doi | 10.1016/j.energy.2019.04.048 | en_US |
dcterms.abstract | Renewable energy producers such as wind power producers (WPP) and electric vehicle (EV) aggregators are playing an increasingly important role in the electricity market as their large capacity could strategically influence the electricity price. This paper proposes a bi-level stochastic optimization model of offering strategy for an aggregated WPP-EV hybrid power plant (HPP) as a price maker in the day-ahead (DA) market while considering the uncertainties of the energy production and spot price in the real-time (RT) market. While the HPP's profits is maximized in the upper level of the proposed model with the use of conditional-value-at-risk (CVaR) to manage the risk of expected revenues, the social welfare from the perspective of the grid is maximized in the lower level. The formulated bi-level model is first transformed into a single-level mathematical program with equilibrium constraints (MPEC) and then further transformed into a mixed integer linear programming (MILP) problem for solution. Simulation results have demonstrated the effectiveness of the proposed HPP model with strategically bidding price to increase profits and reduce volatility of profits by considering the risk-metric. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Energy, 15 June 2019, v. 177, p. 183-191 | en_US |
dcterms.isPartOf | Energy | en_US |
dcterms.issued | 2019-06-15 | - |
dc.identifier.scopus | 2-s2.0-85064562095 | - |
dc.identifier.eissn | 1873-6785 | en_US |
dc.description.validate | 202205 bchy | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | EE-0212 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | The Hong Kong Polytechnic University; National Natural Science Foundation of China; Jiangsu Basic Research Project | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 26686245 | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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Gao_Risk-Constrained_Offering_Strategy.pdf | Pre-Published version | 1.19 MB | Adobe PDF | View/Open |
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