Low Voltage Grid Operation Scheduling Considering Forecast Uncertainty
dc.contributor.author
dc.date.accessioned
2019-07-02T11:05:40Z
dc.date.available
2019-07-02T11:05:40Z
dc.date.issued
2019-05-01
dc.identifier.isbn
978-3-030-20054-1
dc.identifier.uri
dc.description
Comunicació presentada a: 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019)
dc.description.abstract
A model for day-ahead scheduling of batteries and branch switches in the low voltage grid, considering forecasts uncertainties, is proposed. The objective is to reduce the energy losses of the distribution lines and avoid critical events such as congestions or over and under-voltages in the local network. Simulations of different day-ahead situations are performed with a modified particle swarm optimisation algorithm. The results show that critical events are avoided and energy self-consumption within the local network is increased
dc.description.sponsorship
This work has been developed under the European project RESOLVD of the
Horizon 2020 research and innovation program (topic LCE-01-2016-2017) and
grant agreement N773715
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
Springer
dc.relation.isformatof
Versió postprint del document publicat a: https://doi.org/10.1007/978-3-030-20055-8_47
dc.relation.ispartof
© Martínez Álvarez F., Troncoso Lora A., Sáez Muñoz J., Quintián H., Corchado E. (eds). 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019): SOCO 2019. (Advances in Intelligent Systems and Computing, vol. 950), p. 493-502
dc.relation.ispartofseries
Contribucions a Congressos (D-EEEiA)
dc.rights
Tots els drets reservats
dc.subject
dc.title
Low Voltage Grid Operation Scheduling Considering Forecast Uncertainty
dc.type
info:eu-repo/semantics/conferenceObject
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.date.embargoEndDate
info:eu-repo/date/embargoEnd/2020-05-01
dc.relation.projectID
info:eu-repo/grantAgreement/EC/H2020/773715/EU/Renewable penetration levered by Efficient Low Voltage Distribution grids/RESOLVD
dc.type.version
info:eu-repo/semantics/acceptedVersion
dc.identifier.doi
dc.relation.FundingProgramme
dc.relation.ProjectAcronym
dc.identifier.eisbn
978-3-030-20055-8