Distribution System Reconfiguration for Voltage Profile Improvement using Enhanced Particle Swarm Optimization

Wilmer Mariño; Jorge Muñoz; Manuel Jaramillo; Carlos Barrera-Singaña; Wilson Pavón

doi:10.1109/GlobConHT56829.2023.10087590

Distribution System Reconfiguration for Voltage Profile Improvement using Enhanced Particle Swarm Optimization

Wilmer Mariño, Jorge Muñoz, Manuel Jaramillo, Carlos Barrera-Singaña, Wilson Pavón

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

2 Citas (Scopus)

Resumen

The distribution stage of electrical energy presents the greatest number of problems due to the constant change in the load, which is directly related to the end users, whether residential, commercial or industrial. Among the most common problems are voltage drops, presence of harmonics, overloads and power losses which are caused by poor configuration or design of the electrical network. In this work we propose to reconfigure the distribution network with the objective of reducing voltage drop levels and reducing power losses in each of the network sections. One of the algorithms proposed to meet this objective is the improved particle swarm optimization which seeks the optimal reconfiguration of the network taking into account various constraints to maintain power quality. DNR will be implemented in modified test models with the help of MATLAB's MATPOWER tool.

Idioma original	Inglés
Título de la publicación alojada	2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9798350332117
ISBN (versión impresa)	9798350332117
DOI	https://doi.org/10.1109/GlobConHT56829.2023.10087590
Estado	Publicada - 2023
Evento	2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023 - Male, Maldivas Duración: 11 mar. 2023 → 12 mar. 2023

Serie de la publicación

Nombre	2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023

Conferencia

Conferencia	2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023
País/Territorio	Maldivas
Ciudad	Male
Período	11/03/23 → 12/03/23

Nota bibliográfica

Publisher Copyright:
© 2023 IEEE.

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

Acceder al documento

10.1109/GlobConHT56829.2023.10087590

Otros archivos y enlaces

Enlace a la publicación en Scopus

Citar esto

Mariño, W., Muñoz, J., Jaramillo, M., Barrera-Singaña, C., & Pavón, W. (2023). Distribution System Reconfiguration for Voltage Profile Improvement using Enhanced Particle Swarm Optimization. En 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023 (2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GlobConHT56829.2023.10087590

Mariño, Wilmer ; Muñoz, Jorge ; Jaramillo, Manuel et al. / Distribution System Reconfiguration for Voltage Profile Improvement using Enhanced Particle Swarm Optimization. 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023).

@inproceedings{02bbdb9eeef6413f9e4df27cbbc7fe29,

title = "Distribution System Reconfiguration for Voltage Profile Improvement using Enhanced Particle Swarm Optimization",

abstract = "The distribution stage of electrical energy presents the greatest number of problems due to the constant change in the load, which is directly related to the end users, whether residential, commercial or industrial. Among the most common problems are voltage drops, presence of harmonics, overloads and power losses which are caused by poor configuration or design of the electrical network. In this work we propose to reconfigure the distribution network with the objective of reducing voltage drop levels and reducing power losses in each of the network sections. One of the algorithms proposed to meet this objective is the improved particle swarm optimization which seeks the optimal reconfiguration of the network taking into account various constraints to maintain power quality. DNR will be implemented in modified test models with the help of MATLAB's MATPOWER tool.",

keywords = "objective function, particle swarm optimization, Power distribution networks, power quality, voltage fluctuations",

author = "Wilmer Mari{\~n}o and Jorge Mu{\~n}oz and Manuel Jaramillo and Carlos Barrera-Singa{\~n}a and Wilson Pav{\'o}n",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023 ; Conference date: 11-03-2023 Through 12-03-2023",

year = "2023",

doi = "10.1109/GlobConHT56829.2023.10087590",

language = "English",

isbn = "9798350332117",

series = "2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023",

address = "United States",

}

Mariño, W, Muñoz, J , Jaramillo, M , Barrera-Singaña, C & Pavón, W 2023, Distribution System Reconfiguration for Voltage Profile Improvement using Enhanced Particle Swarm Optimization. En 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023. 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023, Male, Maldivas, 11/03/23. https://doi.org/10.1109/GlobConHT56829.2023.10087590

Distribution System Reconfiguration for Voltage Profile Improvement using Enhanced Particle Swarm Optimization. / Mariño, Wilmer; Muñoz, Jorge ; Jaramillo, Manuel et al.
2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

TY - GEN

T1 - Distribution System Reconfiguration for Voltage Profile Improvement using Enhanced Particle Swarm Optimization

AU - Mariño, Wilmer

AU - Muñoz, Jorge

AU - Jaramillo, Manuel

AU - Barrera-Singaña, Carlos

AU - Pavón, Wilson

PY - 2023

Y1 - 2023

N2 - The distribution stage of electrical energy presents the greatest number of problems due to the constant change in the load, which is directly related to the end users, whether residential, commercial or industrial. Among the most common problems are voltage drops, presence of harmonics, overloads and power losses which are caused by poor configuration or design of the electrical network. In this work we propose to reconfigure the distribution network with the objective of reducing voltage drop levels and reducing power losses in each of the network sections. One of the algorithms proposed to meet this objective is the improved particle swarm optimization which seeks the optimal reconfiguration of the network taking into account various constraints to maintain power quality. DNR will be implemented in modified test models with the help of MATLAB's MATPOWER tool.

AB - The distribution stage of electrical energy presents the greatest number of problems due to the constant change in the load, which is directly related to the end users, whether residential, commercial or industrial. Among the most common problems are voltage drops, presence of harmonics, overloads and power losses which are caused by poor configuration or design of the electrical network. In this work we propose to reconfigure the distribution network with the objective of reducing voltage drop levels and reducing power losses in each of the network sections. One of the algorithms proposed to meet this objective is the improved particle swarm optimization which seeks the optimal reconfiguration of the network taking into account various constraints to maintain power quality. DNR will be implemented in modified test models with the help of MATLAB's MATPOWER tool.

KW - objective function

KW - particle swarm optimization

KW - Power distribution networks

KW - power quality

KW - voltage fluctuations

UR - http://www.scopus.com/inward/record.url?scp=85153563102&partnerID=8YFLogxK

U2 - 10.1109/GlobConHT56829.2023.10087590

DO - 10.1109/GlobConHT56829.2023.10087590

M3 - Conference contribution

AN - SCOPUS:85153563102

SN - 9798350332117

T3 - 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023

BT - 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023

Y2 - 11 March 2023 through 12 March 2023

ER -

Mariño W, Muñoz J , Jaramillo M , Barrera-Singaña C , Pavón W. Distribution System Reconfiguration for Voltage Profile Improvement using Enhanced Particle Swarm Optimization. En 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023). doi: 10.1109/GlobConHT56829.2023.10087590