Penetrating PV sources in the electrical distribution system of Manabí province, Ecuador, using B/FS and ANN

Penetration of distributed generation (DG) in the electrical distribution system (EDS) of Manabí province, in Ecuador, is analysed in the present work. Zoning EDS was first done to facilitate the study and understanding of the system with the aim of knowing the existing problems to establish the nec...

Descripción completa

Detalles Bibliográficos
Autores: Balderramo Vélez, Ney Raúl, Cano-Ortega, Antonio, Jurado -Melguizo, Francisco, Pérez-Rodríguez, Jesús Alberto, Llosas-Albuerne, Yolanda
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2023
País:España
Institución:Universidad de Jaén
Repositorio:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
OAI Identifier:oai:ruja.ujaen.es:10953/6159
Acceso en línea:https://doi.org/10.1016/j.epsr.2023.109886
https://www.sciencedirect.com/science/article/pii/S0378779623007745?via%3Dihub
https://hdl.handle.net/10953/6159
Access Level:acceso abierto
Palabra clave:ANN
Electrical distribution system
Backward/forward sweep
PV
621.35
id ES_2f2f21fe2dcee2cf795f9455decc5fd8
oai_identifier_str oai:ruja.ujaen.es:10953/6159
network_acronym_str ES
network_name_str España
repository_id_str
spelling Penetrating PV sources in the electrical distribution system of Manabí province, Ecuador, using B/FS and ANNBalderramo Vélez, Ney RaúlCano-Ortega, AntonioJurado -Melguizo, FranciscoPérez-Rodríguez, Jesús AlbertoLlosas-Albuerne, YolandaANNElectrical distribution systemBackward/forward sweepPV621.35Penetration of distributed generation (DG) in the electrical distribution system (EDS) of Manabí province, in Ecuador, is analysed in the present work. Zoning EDS was first done to facilitate the study and understanding of the system with the aim of knowing the existing problems to establish the necessary criteria for analysing the load flow using the Backward/Forward Sweep (B/FS) method and to know the system’s weaknesses to establish the electrical parameters included in the criteria for decision-making. Additionally, a system of artificial neural networks (ANN’s) type Multi-Layer Perceptron (MLP) was used to obtain the optimal location of the photovoltaic (PV) system in the EDS. Results show that 25 and 26 are the optimal nodes to locate the PV system; improving voltage by 1.14% when functioning at maximum generation up to 0.35% when generating 25% of its nominal capacity and decreasing losses by 24.11% when the system is generating at maximum capacity. Consequently, PV systems can represent a real solution to difficulties in the EDS of Manabí, whenever following technical criteria to guarantee adequate system performance.Elsevier202520252023info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://doi.org/10.1016/j.epsr.2023.109886https://www.sciencedirect.com/science/article/pii/S0378779623007745?via%3Dihubhttps://hdl.handle.net/10953/6159reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaéninstname:Universidad de JaénInglésElectric Power Systems Research 225 (2023)CC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccessoai:ruja.ujaen.es:10953/61592026-06-24T12:41:07Z
dc.title.none.fl_str_mv Penetrating PV sources in the electrical distribution system of Manabí province, Ecuador, using B/FS and ANN
title Penetrating PV sources in the electrical distribution system of Manabí province, Ecuador, using B/FS and ANN
spellingShingle Penetrating PV sources in the electrical distribution system of Manabí province, Ecuador, using B/FS and ANN
Balderramo Vélez, Ney Raúl
ANN
Electrical distribution system
Backward/forward sweep
PV
621.35
title_short Penetrating PV sources in the electrical distribution system of Manabí province, Ecuador, using B/FS and ANN
title_full Penetrating PV sources in the electrical distribution system of Manabí province, Ecuador, using B/FS and ANN
title_fullStr Penetrating PV sources in the electrical distribution system of Manabí province, Ecuador, using B/FS and ANN
title_full_unstemmed Penetrating PV sources in the electrical distribution system of Manabí province, Ecuador, using B/FS and ANN
title_sort Penetrating PV sources in the electrical distribution system of Manabí province, Ecuador, using B/FS and ANN
dc.creator.none.fl_str_mv Balderramo Vélez, Ney Raúl
Cano-Ortega, Antonio
Jurado -Melguizo, Francisco
Pérez-Rodríguez, Jesús Alberto
Llosas-Albuerne, Yolanda
author Balderramo Vélez, Ney Raúl
author_facet Balderramo Vélez, Ney Raúl
Cano-Ortega, Antonio
Jurado -Melguizo, Francisco
Pérez-Rodríguez, Jesús Alberto
Llosas-Albuerne, Yolanda
author_role author
author2 Cano-Ortega, Antonio
Jurado -Melguizo, Francisco
Pérez-Rodríguez, Jesús Alberto
Llosas-Albuerne, Yolanda
author2_role author
author
author
author
dc.subject.none.fl_str_mv ANN
Electrical distribution system
Backward/forward sweep
PV
621.35
topic ANN
Electrical distribution system
Backward/forward sweep
PV
621.35
description Penetration of distributed generation (DG) in the electrical distribution system (EDS) of Manabí province, in Ecuador, is analysed in the present work. Zoning EDS was first done to facilitate the study and understanding of the system with the aim of knowing the existing problems to establish the necessary criteria for analysing the load flow using the Backward/Forward Sweep (B/FS) method and to know the system’s weaknesses to establish the electrical parameters included in the criteria for decision-making. Additionally, a system of artificial neural networks (ANN’s) type Multi-Layer Perceptron (MLP) was used to obtain the optimal location of the photovoltaic (PV) system in the EDS. Results show that 25 and 26 are the optimal nodes to locate the PV system; improving voltage by 1.14% when functioning at maximum generation up to 0.35% when generating 25% of its nominal capacity and decreasing losses by 24.11% when the system is generating at maximum capacity. Consequently, PV systems can represent a real solution to difficulties in the EDS of Manabí, whenever following technical criteria to guarantee adequate system performance.
publishDate 2023
dc.date.none.fl_str_mv 2023
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1016/j.epsr.2023.109886
https://www.sciencedirect.com/science/article/pii/S0378779623007745?via%3Dihub
https://hdl.handle.net/10953/6159
url https://doi.org/10.1016/j.epsr.2023.109886
https://www.sciencedirect.com/science/article/pii/S0378779623007745?via%3Dihub
https://hdl.handle.net/10953/6159
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Electric Power Systems Research 225 (2023)
dc.rights.none.fl_str_mv CC0 1.0 Universal
http://creativecommons.org/publicdomain/zero/1.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv CC0 1.0 Universal
http://creativecommons.org/publicdomain/zero/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
instname:Universidad de Jaén
instname_str Universidad de Jaén
reponame_str RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
collection RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869405460745945088
score 15,81155

Similares en LA Referencia