Operation of a technical virtual power plant considering diverse distributed energy resources

dc.contributor.authorGough, Matthew
dc.contributor.authorSantos, Sérgio F.
dc.contributor.authorLotfi, Mohamed
dc.contributor.authorJavadi, Mohammad
dc.contributor.authorOsório, Gerardo J.
dc.contributor.authorAshraf, Paul
dc.contributor.authorCastro, Rui
dc.contributor.authorCatalão, João P.S.
dc.date.accessioned2022-05-03T16:22:36Z
dc.date.available2022-05-03T16:22:36Z
dc.date.issued2022-03
dc.description.abstractVirtual Power Plants (VPP) have emerged as a way to coordinate and control the growing number of Distributed Energy Resources (DERs) within power systems. Typically, VPP models have focused on financial or commercial outcomes and have not considered the technical constraints of the distribution system. The objective of this paper is the development of a technical VPP (TVPP) operational model to optimize the scheduling of a diverse set of DERs operating on a day-ahead energy market, considering grid management constraints. The effects on network congestion, voltage profiles, and power losses are presented and analyzed. In addition, the thermal comfort of the consumers is considered and the trade-offs between comfort, costs, and technical constraints are presented. The model quantifies and allocates the benefits of the DER operation to the owners in a fair and efficient manner using the Vickrey Clarke Grove mechanism. This paper develops a stochastic mixed-integer linear programming (MILP) model and various case studies are thoroughly examined on the IEEE 119 bus test system. Results indicate that electric vehicles provide the largest marginal contribution to the TVPP, closely followed by solar PV units. Also, the results show that the operations of the TVPP improve financial metrics and increase consumer engagement while improving numerous technical operational metrics. The proposed TVPP model is shown to improve the ability of the system to incorporate DERs, including those from commercial buildings.pt_PT
dc.identifier.citationGough, M., Santos, S. F., Lotfi, M., Javadi, M., Osório, G. J., Ashraf, P., Castro, R., & Catalão, J. P. S. (2022). Operation of a technical virtual power plant considering diverse distributed energy resources. IEEE Transactions on Industry Applications, 58(2), 2547-2558. https://doi.org/10.1109/TIA.2022.3143479. Repositório Institucional UPT. http://hdl.handle.net/11328/4063pt_PT
dc.identifier.doihttps://doi.org/10.1109/TIA.2022.3143479pt_PT
dc.identifier.issn0093-9994 (Print)
dc.identifier.issn1939-9367 (Electronic)
dc.identifier.urihttp://hdl.handle.net/11328/4063
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEE Transactions on Industry Applicationspt_PT
dc.rightsrestricted accesspt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectVirtual Power Plantpt_PT
dc.subjectFlexibility Servicespt_PT
dc.subjectConsumer comfortpt_PT
dc.subjectElectric Vehiclespt_PT
dc.subjectDemand Responsept_PT
dc.subjectHeating Ventilation and Air Conditioningpt_PT
dc.titleOperation of a technical virtual power plant considering diverse distributed energy resourcespt_PT
dc.typejournal articlept_PT
degois.publication.firstPage2547pt_PT
degois.publication.issue2pt_PT
degois.publication.lastPage2558pt_PT
degois.publication.titleIEEE Transactions on Industry Applicationspt_PT
degois.publication.volume58pt_PT
dspace.entity.typePublicationen
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