dc.contributor.author | Barbecho Asmal, Patricio | |
dc.contributor.author | Albizu Flórez, Igor | |
dc.contributor.author | Bedialauneta Landaribar, Miren Terese | |
dc.contributor.author | Fernández Herrero, Elvira | |
dc.contributor.author | Castillo Aguirre, Paula | |
dc.date | 2025-09-13 | |
dc.date.accessioned | 2023-12-20T16:33:29Z | |
dc.date.available | 2023-12-20T16:33:29Z | |
dc.date.issued | 2023-09-13 | |
dc.identifier.citation | 2023 International Conference on Clean Electrical Power (ICCEP) : 606-611 (2023) | es_ES |
dc.identifier.isbn | 979-8-3503-4837-8 | |
dc.identifier.issn | 2474-9664 | |
dc.identifier.uri | http://hdl.handle.net/10810/63453 | |
dc.description.abstract | The 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.sponsorship | This 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.iso | eng | es_ES |
dc.publisher | IEEE | es_ES |
dc.relation | info:eu-repo/grantAgreement/MCIN/TED2021-129930A-I00 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MCIN/PID2021-1258810B-I00 | es_ES |
dc.rights | info:eu-repo/semantics/embargoedAccess | es_ES |
dc.subject | distributed generation | es_ES |
dc.subject | DigSILENT | es_ES |
dc.subject | energy losses | es_ES |
dc.subject | location of distributed generation | es_ES |
dc.title | Optimal location of distributed generation to reduce power losses | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_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.publisherversion | https://ieeexplore.ieee.org/document/10247477 | es_ES |
dc.identifier.doi | 10.1109/ICCEP57914.2023.10247477 | |
dc.departamentoes | Ingeniería eléctrica | es_ES |
dc.departamentoeu | Ingeniaritza elektrikoa | es_ES |