Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/117693
DC FieldValueLanguage
dc.contributorDepartment of Building Environment and Energy Engineering-
dc.creatorLin, H-
dc.creatorGuo, Y-
dc.creatorShen, X-
dc.creatorTao, S-
dc.creatorKammen, DM-
dc.date.accessioned2026-02-27T01:10:39Z-
dc.date.available2026-02-27T01:10:39Z-
dc.identifier.issn0306-2619-
dc.identifier.urihttp://hdl.handle.net/10397/117693-
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.subjectDistributed energy resourcesen_US
dc.subjectDistribution system operatoren_US
dc.subjectElectricity marketen_US
dc.subjectVirtual power plantsen_US
dc.titleA semi-uniform pricing method for VPPs in electricity markets based on power-reserve flexibility regionsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume401-
dc.identifier.doi10.1016/j.apenergy.2025.126653-
dcterms.abstractVirtual power plants (VPPs) have emerged as an efficient way to utilize distributed energy resources (DERs) at the distribution level. To capture advantages offered by this approach, this paper proposes a complete and effective mechanism for VPPs in electricity markets including the VPP's aggregation and the DSO's clearing and pricing. The nodal power and reserve flexibility of VPPs consisting of typical DERs is presented by a generalized storage model whose disaggregated feasibility is guaranteed by a bound shrinking algorithm. Then VPPs submit nodal flexibility regions and estimated cost functions to the DSO without the leakage of DERs’ privacy or the knowledge about the network topology. In addition, we propose a general energy–reserve co-operation model for distribution system operator (DSO) to clear bids from VPPs. Based on the proposed model, a semi-uniform pricing approach, is developed for energy and reserve contributions by VPPs. Compared to uniform pricing mechanisms, this pricing includes nonuniform shadow prices of VPPs’ individual ramping and SOC constraints, thereby removing the requirement of out-of-market uplifts and ensuring several essential properties, such as truthful bidding incentives and cost recovery for VPPs. Simulations verify the effectiveness of proposed methods compared to their counterparts.-
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationApplied energy, 15 Dec. 2025, v. 401, pt. B, 126653-
dcterms.isPartOfApplied energy-
dcterms.issued2025-12-15-
dc.identifier.scopus2-s2.0-105015556773-
dc.identifier.eissn1872-9118-
dc.identifier.artn126653-
dc.description.validate202602 bcjz-
dc.description.oaNot applicableen_US
dc.identifier.SubFormIDG001049/2026-02en_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis work was supported in part by the National Natural Science Foundation of China under grant 52377105 .en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2027-12-15en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2027-12-15
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