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Day-Ahead Stochastic Scheduling Model Considering Market Transactions in Smart Grids

2018Conference object Open access
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dc.contributor.authorSoares, João
dc.contributor.authorLezama, Fernando
dc.contributor.authorCanizes, Bruno
dc.contributor.authorFotouhi Ghazvini, Mohammad Ali
dc.contributor.authorVale, Zita
dc.contributor.authorPinto, Tiago
dc.date.accessioned2021-09-17T10:09:46Z
dc.date.available2021-09-17T10:09:46Z
dc.date.issued2018
dc.description.abstractThe integration of renewable generation and electric vehicles (EVs) into smart grids poses an additional challenge to the stochastic energy resource management problem due to the uncertainty related to weather forecast and EVs user-behavior. Moreover, when electricity markets are considered, market price variations cannot be disregarded. In this paper, a two-stage stochastic programming approach to schedule the day-ahead operation of energy resources in smart grids under uncertainty is presented. A realistic case study is performed using a large-scale scenario with nearly 4 million variables with the goal to minimize expected operation cost of energy aggregators. Three scenarios are analyzed to understand the effect of market transactions and external suppliers on the aggregator model. The results suggest that the market transactions can reduce expected cost, while the external supplier offers risk-free price. In addition, the performance metric shows the superiority of the stochastic approach over an equivalent deterministic modelpt_PT
dc.description.sponsorshipThis work has received funding from the CONTEST project - SAICTPOL/ 23575/2016; and from National Funds through FCT under the project UID/EEA/00760/2013 and Bruno Canizes is supported by FCT Funds through SFRH/BD/110678/2015 PhD scholarship.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.23919/PSCC.2018.8442538pt_PT
dc.identifier.isbn978-1-910963-10-4
dc.identifier.urihttp://hdl.handle.net/10400.22/18392
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8442538pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectEnergy schedulingpt_PT
dc.subjectSmart gridpt_PT
dc.subjectUncertaintypt_PT
dc.subjectElectric vehiculspt_PT
dc.subjectTwo-stage stochastic programmingpt_PT
dc.titleDay-Ahead Stochastic Scheduling Model Considering Market Transactions in Smart Gridspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F00760%2F2013/PT
oaire.citation.conferencePlaceDublin, Irelandpt_PT
oaire.citation.endPage6pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title2018 Power Systems Computation Conference (PSCC)pt_PT
oaire.fundingStream5876
person.familyNameSoares
person.familyNameLezama
person.familyNameCanizes
person.familyNameFotouhi Ghazvini
person.familyNameVale
person.familyNamePinto
person.givenNameJoão
person.givenNameFernando
person.givenNameBruno
person.givenNameMohammad Ali
person.givenNameZita
person.givenNameTiago
person.identifier1043580
person.identifier632184
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person.identifier.orcid0000-0001-8248-080X
person.identifier.ridA-6945-2017
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person.identifier.scopus-author-id35436109600
person.identifier.scopus-author-id36810077500
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person.identifier.scopus-author-id54782572900
person.identifier.scopus-author-id7004115775
person.identifier.scopus-author-id35219107600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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