Publication:
Optimising Load Flexibility for the Day Ahead in Distribution Networks with Photovoltaics

Simple item page
dc.affiliation.dptoUC3M. Departamento de Ingeniería Eléctricaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Redes y Sistemas de Energía Eléctrica (REDES)es
dc.contributor.authorVelasco Rodríguez, José Ángel
dc.contributor.authorRigoni, Valenrin
dc.contributor.authorSoroudi, Alireza
dc.contributor.authorKeane, Andrew
dc.contributor.authorAmarís Duarte, Hortensia Elena
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2019-11-21T11:36:51Z
dc.date.available2019-11-21T11:36:51Z
dc.date.issued2019-08-26
dc.descriptionThis paper has been presented at: 2019 IEEE Milan PowerTechen
dc.description.abstractIn this paper a methodology is proposed to calculate the load demand flexibility that could be activated within the next 24-hours for solving the technical impacts of contingencies that may come up in an unbalanced low voltage distribution networks with high penetration of intermittent DG sources. The methodology is formulated within a Demand Response program environment via load shifting as flexibility enabler mechanism. To achieve that, a non-linear optimisation problem is formulated based on an unbalanced optimal power flow, which allows the determination of the load flexibility that each Demand Response customer could provide at the request of the Distribution System Operator. The demand as well as weather conditions are forecasted for the day ahead. The optimisation problem is solved in a sequence fashion, within a daily framework, splitting the whole problem in optimisation blocks. In each block, the flexible load demand is obtained and the load demand forecasting its updated for the upcoming blocks based on the changes in the scheduled load demand. The methodology is applied to a real distribution network with the load data received from the smart metering infrastructure. The results obtained show the strength of the methodology in solving the technical problems of the network under high unbalanced operation.en
dc.description.sponsorshipThe work done by Valentin Rigoni and Alireza Soroudi is supported by a research grant from Science Foundation Ireland (SFI) under the SFI Strategic Partnership Programme Grant No. SF/15/SPP/E3125. The opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Science Foundation Ireland. Jose Angel Velasco and Hortensia Amaris are supported by the Spanish Ministry of Economy and Competitiveness through the National Program for Research under the project OSIRIS (RTC-2014-1556-3).en
dc.format.extent6
dc.identifier.bibliographicCitationVelasco, J.A., Rigoni, V., Soroudi, A., Keane, A. y Amaris, H. (2019). optimising Load Flexibility for the Day Ahead in Distribution Networks with Photovoltaics. In 2019 IEEE Milan PowerTech.en
dc.identifier.doihttps://doi.org/10.1109/PTC.2019.8810963
dc.identifier.isbn978-1-5386-4722-6
dc.identifier.publicationtitle2019 IEEE Milan PowerTechen
dc.identifier.urihttps://hdl.handle.net/10016/29214
dc.identifier.uxxiCC/0000030096
dc.language.isoengen
dc.publisherIEEEen
dc.relation.eventdate23-27 June 2019en
dc.relation.eventplaceMilan, Italyen
dc.relation.eventtitle2019 IEEE Milan PowerTechen
dc.relation.projectIDGobierno de España. RTC-2014-1556-3es
dc.rights© 2019 IEEE.en
dc.rights.accessRightsopen accessen
dc.subject.ecienciaTelecomunicacioneses
dc.titleOptimising Load Flexibility for the Day Ahead in Distribution Networks with Photovoltaicsen
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
optimising_IEEEMPT_2019_ps.pdf
Size:
458.23 KB
Format:
Adobe Portable Document Format
Download
Collections
DIE - REDES - Comunicaciones en Congresos y otros eventos
DIE - REDES - Capítulos de Monografías