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dc.contributor.authorBarbecho Asmal, Patricio
dc.contributor.authorAlbizu Flórez, Igor ORCID
dc.contributor.authorBedialauneta Landaribar, Miren Terese ORCID
dc.contributor.authorFernández Herrero, Elvira ORCID
dc.contributor.authorCastillo Aguirre, Paula
dc.date2025-09-13
dc.date.accessioned2023-12-20T16:33:29Z
dc.date.available2023-12-20T16:33:29Z
dc.date.issued2023-09-13
dc.identifier.citation2023 International Conference on Clean Electrical Power (ICCEP) : 606-611 (2023)es_ES
dc.identifier.isbn979-8-3503-4837-8
dc.identifier.issn2474-9664
dc.identifier.urihttp://hdl.handle.net/10810/63453
dc.description.abstractThe efficient integration of distributed electricity generation from renewable resources requires innovation in the grid. It is necessary to develop methodologies for the planning, management and operation of the distribution network, with approaches ranging from centralized control to distributed management. To meet the challenges posed by distributed generation, it is necessary to introduce intelligence and improved capabilities into the planning, operation, and management of the grid. In order to control and anticipate the behavior of the demand and generation of renewable sources, it is essential to implement new methodologies that combine artificial intelligence tools and new computational tools. A strong and flexible paradigm to consider the various possibilities to operate the electrical network is the automation of the calculation processes of technical parameters and simulation. In this work, the results of simulations in DigSILENT are presented with an automated process with DPL commands for the optimal location of distributed generators with the objective of loss reduction.es_ES
dc.description.sponsorshipThis work is financially supported by the Grant TED2021-129930A-I00 funded by MCIN/AEI/10.13039/501100011033 and by the “European Union NextGenerationEU/PRTR”; by the Grant PID2021-125881OB-I00 funded by MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe"; and by the Basque Government under the Grant IT1647-22 (ELEKTRIKER research group).es_ES
dc.language.isoenges_ES
dc.publisherIEEEes_ES
dc.relationinfo:eu-repo/grantAgreement/MCIN/TED2021-129930A-I00es_ES
dc.relationinfo:eu-repo/grantAgreement/MCIN/PID2021-1258810B-I00es_ES
dc.rightsinfo:eu-repo/semantics/embargoedAccesses_ES
dc.subjectdistributed generationes_ES
dc.subjectDigSILENTes_ES
dc.subjectenergy losseses_ES
dc.subjectlocation of distributed generationes_ES
dc.titleOptimal location of distributed generation to reduce power losseses_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.holder© 2023 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.es_ES
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/10247477es_ES
dc.identifier.doi10.1109/ICCEP57914.2023.10247477
dc.departamentoesIngeniería eléctricaes_ES
dc.departamentoeuIngeniaritza elektrikoaes_ES


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