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

DC FieldValueLanguage
dc.contributor.authorVelasco, Jose Angel-
dc.contributor.authorRigoni, Valentin-
dc.contributor.authorSoroudi, Alireza-
dc.contributor.authorKeane, Andrew-
dc.contributor.authorAmaris, Hortensia-
dc.date.accessioned2019-10-25T10:45:00Z-
dc.date.available2019-10-25T10:45:00Z-
dc.date.copyright2019 IEEEen_US
dc.date.issued2019-06-27-
dc.identifier.urihttp://hdl.handle.net/10197/11173-
dc.descriptionThe 13th IEEE PowerTech (POWERTech 2019), Milan, Italy, 24-27 June 2019en_US
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_US
dc.description.sponsorshipScience Foundation Irelanden_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.subjectLoad modelingen_US
dc.subjectReactive poweren_US
dc.subjectOptimizationen_US
dc.subjectForecastingen_US
dc.subjectLoad managementen_US
dc.subjectPredictive modelsen_US
dc.subjectPower cablesen_US
dc.titleOptimising Load Flexibility for the Day Ahead in Distribution Networks with Photovoltaicsen_US
dc.typeConference Publicationen_US
dc.internal.authorcontactotheralireza.soroudi@ucd.ieen_US
dc.internal.webversionshttps://attend.ieee.org/powertech-2019/-
dc.statusPeer revieweden_US
dc.check.date2020-03-18-
dc.identifier.doi10.1109/ptc.2019.8810963-
dc.neeo.contributorVelasco|Jose Angel|aut|-
dc.neeo.contributorRigoni|Valentin|aut|-
dc.neeo.contributorSoroudi|Alireza|aut|-
dc.neeo.contributorKeane|Andrew|aut|-
dc.neeo.contributorAmaris|Hortensia|aut|-
dc.description.othersponsorshipSpanish Ministry of Economy and Competivenessen_US
dc.date.updated2019-09-09T17:43:32Z-
dc.identifier.grantidSFI/15/SPP/E3125-
dc.identifier.grantidRTC-2014-1556-3-
item.fulltextWith Fulltext-
item.grantfulltextopen-
Appears in Collections:Electrical and Electronic Engineering Research Collection
Files in This Item:
File Description SizeFormat 
Paper_PowerTech (1).pdf549.94 kBAdobe PDFDownload
Show simple item record

Page view(s)

154
Last Week
31
Last month
checked on Dec 6, 2019

Download(s)

61
checked on Dec 6, 2019

Google ScholarTM

Check

Altmetric


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.