Multi-Objective Analysis for Optimal location and location of Distributed Generation Focused on Improving Power Quality

Karen Benítez; Manuel Jaramillo; Jorge Muñoz; Carlos Barrera-Singaña; Wilson Pavón

doi:10.1109/GlobConHT56829.2023.10087886

Multi-Objective Analysis for Optimal location and location of Distributed Generation Focused on Improving Power Quality

Karen Benítez, Manuel Jaramillo, Jorge Muñoz, Carlos Barrera-Singaña, Wilson Pavón

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

2 Citas (Scopus)

Resumen

The increasing demand for electric power and heightened environmental protection awareness have rapidly grown distributed generation (DG) in recent years. Consequently, this research aims to investigate the optimal location and capacity for DG based on multiple objectives, such as the minimization of active power losses, the improvement of the voltage profile, and the cost reduction of the network. To this end, an algorithm inspired by the behavior of lion ants, known as the Ant Lion Optimizer (ALO), has been proposed as a possible solution. The ALO algorithm is a nature-inspired meta-heuristic that can provide near-optimal solutions for complex real-world optimization problems. Thus, the ALO algorithm is expected to provide solutions close to optimal while being computationally efficient.

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/GlobConHT56829.2023.10087886
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/GlobConHT56829.2023.10087886

Otros archivos y enlaces

Enlace a la publicación en Scopus

Citar esto

Benítez, K., Jaramillo, M., Muñoz, J., Barrera-Singaña, C., & Pavón, W. (2023). Multi-Objective Analysis for Optimal location and location of Distributed Generation Focused on Improving Power Quality. 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/GlobConHT56829.2023.10087886

Benítez, Karen ; Jaramillo, Manuel ; Muñoz, Jorge et al. / Multi-Objective Analysis for Optimal location and location of Distributed Generation Focused on Improving Power Quality. 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{7dcdac1061d448a89195fc6b7086561d,

title = "Multi-Objective Analysis for Optimal location and location of Distributed Generation Focused on Improving Power Quality",

abstract = "The increasing demand for electric power and heightened environmental protection awareness have rapidly grown distributed generation (DG) in recent years. Consequently, this research aims to investigate the optimal location and capacity for DG based on multiple objectives, such as the minimization of active power losses, the improvement of the voltage profile, and the cost reduction of the network. To this end, an algorithm inspired by the behavior of lion ants, known as the Ant Lion Optimizer (ALO), has been proposed as a possible solution. The ALO algorithm is a nature-inspired meta-heuristic that can provide near-optimal solutions for complex real-world optimization problems. Thus, the ALO algorithm is expected to provide solutions close to optimal while being computationally efficient.",

keywords = "Ant Colony Optimization, Distributed Power Generation, Power Quality, Renewable En-ergy Sources",

author = "Karen Ben{\'i}tez and Manuel Jaramillo and Jorge Mu{\~n}oz 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/GlobConHT56829.2023.10087886",

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",

}

Benítez, K, Jaramillo, M , Muñoz, J , Barrera-Singaña, C & Pavón, W 2023, Multi-Objective Analysis for Optimal location and location of Distributed Generation Focused on Improving Power Quality. 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/GlobConHT56829.2023.10087886

Multi-Objective Analysis for Optimal location and location of Distributed Generation Focused on Improving Power Quality. / Benítez, Karen; Jaramillo, Manuel ; Muñoz, Jorge 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 - Multi-Objective Analysis for Optimal location and location of Distributed Generation Focused on Improving Power Quality

AU - Benítez, Karen

AU - Jaramillo, Manuel

AU - Muñoz, Jorge

AU - Barrera-Singaña, Carlos

AU - Pavón, Wilson

PY - 2023

Y1 - 2023

N2 - The increasing demand for electric power and heightened environmental protection awareness have rapidly grown distributed generation (DG) in recent years. Consequently, this research aims to investigate the optimal location and capacity for DG based on multiple objectives, such as the minimization of active power losses, the improvement of the voltage profile, and the cost reduction of the network. To this end, an algorithm inspired by the behavior of lion ants, known as the Ant Lion Optimizer (ALO), has been proposed as a possible solution. The ALO algorithm is a nature-inspired meta-heuristic that can provide near-optimal solutions for complex real-world optimization problems. Thus, the ALO algorithm is expected to provide solutions close to optimal while being computationally efficient.

AB - The increasing demand for electric power and heightened environmental protection awareness have rapidly grown distributed generation (DG) in recent years. Consequently, this research aims to investigate the optimal location and capacity for DG based on multiple objectives, such as the minimization of active power losses, the improvement of the voltage profile, and the cost reduction of the network. To this end, an algorithm inspired by the behavior of lion ants, known as the Ant Lion Optimizer (ALO), has been proposed as a possible solution. The ALO algorithm is a nature-inspired meta-heuristic that can provide near-optimal solutions for complex real-world optimization problems. Thus, the ALO algorithm is expected to provide solutions close to optimal while being computationally efficient.

KW - Ant Colony Optimization

KW - Distributed Power Generation

KW - Power Quality

KW - Renewable En-ergy Sources

UR - http://www.scopus.com/inward/record.url?scp=85153570757&partnerID=8YFLogxK

U2 - 10.1109/GlobConHT56829.2023.10087886

DO - 10.1109/GlobConHT56829.2023.10087886

M3 - Conference contribution

AN - SCOPUS:85153570757

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 -

Benítez K, Jaramillo M , Muñoz J , Barrera-Singaña C , Pavón W. Multi-Objective Analysis for Optimal location and location of Distributed Generation Focused on Improving Power Quality. 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/GlobConHT56829.2023.10087886