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dc.contributor.authorVenizelou, Venizelosen
dc.contributor.authorTsolakis, Apostolos C.en
dc.contributor.authorEvagorou, Demetresen
dc.contributor.authorPatsonakis, Christosen
dc.contributor.authorKoskinas, Ioannisen
dc.contributor.authorTherapontos, Phivosen
dc.contributor.authorZyglakis, Lamprosen
dc.contributor.authorIoannidis, Dimosthenisen
dc.contributor.authorMakrides, Georgeen
dc.contributor.authorTzovaras, Dimitriosen
dc.contributor.authorGeorghiou, George E.en
dc.contributor.editorChicco, Gianfrancoen
dc.coverage.spatialBaselen
dc.creatorVenizelou, Venizelosen
dc.creatorTsolakis, Apostolos C.en
dc.creatorEvagorou, Demetresen
dc.creatorPatsonakis, Christosen
dc.creatorKoskinas, Ioannisen
dc.creatorTherapontos, Phivosen
dc.creatorZyglakis, Lamprosen
dc.creatorIoannidis, Dimosthenisen
dc.creatorMakrides, Georgeen
dc.creatorTzovaras, Dimitriosen
dc.creatorGeorghiou, George E.en
dc.date.accessioned2024-01-16T06:43:46Z
dc.date.available2024-01-16T06:43:46Z
dc.date.issued2023
dc.identifier.issn1996-1073
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/66000en
dc.description.abstractUnlocking flexibility on the demand side is a prerequisite for balancing supply and de- mand in distribution networks with high penetration levels of renewable energy sources that lead to high volatility in energy prices. The main means of fully gaining access to the untapped flexibility is the application of demand response (DR) schemes through aggregation. Notwithstanding, to extract the utmost of this potential, a combination of performance-, financial-, and technical-related parameters should be considered, a balance rarely identified in the state of the art. The contribution of this work lies in the introduction of a holistic DR framework that refines the DR-related strate- gies of the aggregator towards optimum flexibility dispatch, while facilitating its cooperation with the distribution system operator (DSO). The backbone of the proposed DR framework is a novel constrained-objective optimisation function which minimises the aggregator’s costs through optimal segmentation of customer groups based on fairness and reliability aspects, while maintaining the distribution balance of the grid. The proposed DR framework is evaluated on a modified IEEE 33-Bus radial distribution system where a real DR event is successfully executed. The flexibility of the most fair, reliable and profitable sources, identified by the developed optimisation function, is dispatched in an interoperable and secure manner without interrupting the normal operation of the distribution grid.en
dc.language.isoengen
dc.publisherMDPIen
dc.sourceEnergiesen
dc.source.urihttps://www.mdpi.com/1996-1073/16/6/2815en
dc.subjectDemand responseen
dc.subjectFlexibilityen
dc.subjectReliabilityen
dc.subjectFairnessen
dc.subjectAggregationen
dc.subjectOptimisationen
dc.titleDSO-Aggregator demand response cooperation framework towards reliable, fair and secure flexibility dispatchen
dc.typeinfo:eu-repo/semantics/articleen
dc.identifier.doi10.3390/en16062815en
dc.description.volume16en
dc.description.issue6en
dc.description.startingpage1en
dc.description.endingpage21en
dc.author.faculty007 Πολυτεχνική Σχολή / Faculty of Engineering
dc.author.departmentΤμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών / Department of Electrical and Computer Engineering
dc.type.uhtypeArticleen
dc.contributor.orcidGeorghiou, George E. [0000-0002-5872-5851]
dc.contributor.orcidMakrides, George [0000-0002-0327-0386]
dc.contributor.orcidVenizelou, Venizelos [0000-0001-9545-0212]
dc.contributor.orcidTsolakis, Apostolos C. [0000-0003-2606-1402]
dc.contributor.orcidPatsonakis, Christos [0000-0003-2654-2601]
dc.contributor.orcidZyglakis, Lampros [0000-0001-7411-5765]
dc.contributor.orcidIoannidis, Dimosthenis [0000-0002-5747-2186]
dc.contributor.orcidTzovaras, Dimitrios [0000-0001-6915-6722]
dc.contributor.orcidChicco, Gianfranco [0000-0001-7885-8013]
dc.type.subtypeSCIENTIFIC_JOURNALen
dc.gnosis.orcid0000-0002-5872-5851
dc.gnosis.orcid0000-0002-0327-0386
dc.gnosis.orcid0000-0001-9545-0212
dc.gnosis.orcid0000-0003-2606-1402
dc.gnosis.orcid0000-0003-2654-2601
dc.gnosis.orcid0000-0001-7411-5765
dc.gnosis.orcid0000-0002-5747-2186
dc.gnosis.orcid0000-0001-6915-6722
dc.gnosis.orcid0000-0001-7885-8013


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