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

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

1 Scopus citations

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.

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/GlobConHT56829.2023.10087590
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

objective function
particle swarm optimization
Power distribution networks
power quality
voltage fluctuations

UN SDGs

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

Access to Document

10.1109/GlobConHT56829.2023.10087590

Cite this

Mariño, W., Muñoz, J., Jaramillo, M., Barrera-Singaña, C., & Pavón, W. (2023). Distribution System Reconfiguration for Voltage Profile Improvement using Enhanced Particle Swarm Optimization. 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/GlobConHT56829.2023.10087590

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).

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Mariño, W, Muñoz, J , Jaramillo, M , Barrera-Singaña, C & Pavón, W 2023, Distribution System Reconfiguration for Voltage Profile Improvement using Enhanced Particle Swarm Optimization. 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/GlobConHT56829.2023.10087590

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).

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

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AU - Muñoz, Jorge

AU - Jaramillo, Manuel

AU - Barrera-Singaña, Carlos

AU - Pavón, Wilson

PY - 2023

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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.

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Mariño W, Muñoz J , Jaramillo M , Barrera-Singaña C , Pavón W. Distribution System Reconfiguration for Voltage Profile Improvement using Enhanced Particle Swarm Optimization. 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/GlobConHT56829.2023.10087590

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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