Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/117050
DC FieldValueLanguage
dc.contributorDepartment of Building Environment and Energy Engineeringen_US
dc.contributorResearch Institute for Smart Energyen_US
dc.contributorMainland Development Officeen_US
dc.creatorHan, Ben_US
dc.creatorLi, Hen_US
dc.creatorWang, Sen_US
dc.date.accessioned2026-01-29T06:41:53Z-
dc.date.available2026-01-29T06:41:53Z-
dc.identifier.issn2352-152Xen_US
dc.identifier.urihttp://hdl.handle.net/10397/117050-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectBuilding energy flexibilityen_US
dc.subjectHVAC systemen_US
dc.subjectLoad rebounden_US
dc.subjectRobust schedulingen_US
dc.subjectSpinning reserveen_US
dc.titleRobust spinning reserve scheduling for power systems incorporating building energy flexibility by considering load rebounden_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume114en_US
dc.identifier.doi10.1016/j.est.2025.115910en_US
dcterms.abstractBuilding energy flexibility is emerging as a feasible alternative to conventional generators for providing spinning reserve, an essential means to manage power imbalance. However, load rebound often occurs after activating the passive thermal storage of buildings for upward reserve (i.e., load reduction), which may adversely affect the reliability and economy of power systems. This paper proposes a robust day-ahead scheduling strategy, which considers load rebound, for coordinating buildings and conventional generators to provide spinning reserve. Firstly, the aggregated load rebound of diverse buildings is modelled explicitly based on building thermal dynamics. The coupling between the load rebound and load reduction is quantified, enabling the convenient incorporation of building flexibility into power system reserve scheduling. Then, a two-stage robust optimization problem is formulated for optimal reserve scheduling, where the load rebound is effectively managed in all possible realizations of uncertainty in renewable generation. An adjustable uncertainty set is used to control the conservativeness level of the robust solution. The reserve for potential generator failures is also scheduled to effectively utilize building flexibility. The proposed strategy is validated on a power system modified from the current Hong Kong power system. The results show that compared to existing strategies, the proposed strategy can effectively avoid the reserve shortage caused by load rebound and achieve a reduction of up to 7.54 % in power system operation cost.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationJournal of energy storage, 10 Apr. 2025, v. 114, pt. B, 115910en_US
dcterms.isPartOfJournal of energy storageen_US
dcterms.issued2025-04-10-
dc.identifier.scopus2-s2.0-85218176604-
dc.identifier.eissn2352-1538en_US
dc.identifier.artn115910en_US
dc.description.validate202601 bchyen_US
dc.description.oaNot applicableen_US
dc.identifier.SubFormIDG000762/2025-12-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe research work is funded by the Shenzhen Science and Technology Innovation Commission (Grant number: KCXST20221021111203007) and the General Research Fund (Grant number: No. 152216/23E) of the Research Grant Council (RGC) of the Hong Kong SAR.en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2027-04-10en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2027-04-10
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