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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350332117
DOIs	https://doi.org/10.1109/GlobConHT56829.2023.10087886
State	Published - 2023
Event	2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023 - Male, Maldives Duration: 11 Mar 2023 → 12 Mar 2023

Publication series

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

Conference

Conference	2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023
Country/Territory	Maldives
City	Male
Period	11/03/23 → 12/03/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Ant Colony Optimization
Distributed Power Generation
Power Quality
Renewable En-ergy Sources

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/GlobConHT56829.2023.10087886

Cite this

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. In 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).

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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.",

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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",

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

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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. in 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, Maldives, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Jaramillo, Manuel

AU - Muñoz, Jorge

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AU - Pavón, Wilson

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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.

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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. In 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

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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