RECLOSER OPTIMIZATION IN ELECTRICAL DISTRIBUTION SYSTEMS USING RELIABILITY ANALYSIS WITH HEURISTIC ALGORITHM

Hólger Santillán; Gabriel Encalada

doi:10.29354/diag/192183

RECLOSER OPTIMIZATION IN ELECTRICAL DISTRIBUTION SYSTEMS USING RELIABILITY ANALYSIS WITH HEURISTIC ALGORITHM

Hólger Santillán
, Gabriel Encalada

Research Group in Telecommunication Systems (GISTEL)

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

The main objective of this research is to improve the reliability of the electrical system under study by reducing both the frequency of outages (SAIFI) and the downtime of electrical service (SAIDI). These problems are largely affected by adverse weather conditions, vegetation growth, and bird contact. To carry out the analysis, the 5011 urban feeder of Canton La Troncal was selected, since it presents critical values in terms of reliability compared to other feeders. The proposed methodology involves a mathematical model of heuristic optimization based on the Particle Swarm Optimization (PSO) algorithm. Two scenarios are defined for the modeling: the first focuses on relocating the existing recloser and the second on analyzing the impact of adding additional protection equipment. These scenarios are validated and demonstrate their effectiveness, achieving an improvement of 29.05% in the first case and 70.93% in the second case within a real conventional distribution system.

Original language	English
Article number	2024313
Journal	Diagnostyka
Volume	25
Issue number	3
DOIs	https://doi.org/10.29354/diag/192183
State	Published - 2024

Bibliographical note

Publisher Copyright:
© 2024 by the Authors. Licensee Polish Society of Technical Diagnostics (Warsaw. Poland).

Keywords

distribution system
particle swarm algorithm
recloser
reliability
SAIDI
SAIFI

CACES Knowledge Areas

317A Electricity and Energy

Access to Document

10.29354/diag/192183

Cite this

@article{37bda01df1aa4de7988ff438938d941a,

title = "RECLOSER OPTIMIZATION IN ELECTRICAL DISTRIBUTION SYSTEMS USING RELIABILITY ANALYSIS WITH HEURISTIC ALGORITHM",

abstract = "The main objective of this research is to improve the reliability of the electrical system under study by reducing both the frequency of outages (SAIFI) and the downtime of electrical service (SAIDI). These problems are largely affected by adverse weather conditions, vegetation growth, and bird contact. To carry out the analysis, the 5011 urban feeder of Canton La Troncal was selected, since it presents critical values in terms of reliability compared to other feeders. The proposed methodology involves a mathematical model of heuristic optimization based on the Particle Swarm Optimization (PSO) algorithm. Two scenarios are defined for the modeling: the first focuses on relocating the existing recloser and the second on analyzing the impact of adding additional protection equipment. These scenarios are validated and demonstrate their effectiveness, achieving an improvement of 29.05\% in the first case and 70.93\% in the second case within a real conventional distribution system.",

keywords = "distribution system, particle swarm algorithm, recloser, reliability, SAIDI, SAIFI",

author = "H{\'o}lger Santill{\'a}n and Gabriel Encalada",

note = "Publisher Copyright: {\textcopyright} 2024 by the Authors. Licensee Polish Society of Technical Diagnostics (Warsaw. Poland).",

year = "2024",

doi = "10.29354/diag/192183",

language = "English",

volume = "25",

journal = "Diagnostyka",

issn = "1641-6414",

publisher = "Polish Society of Technical Diagnostics",

number = "3",

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T1 - RECLOSER OPTIMIZATION IN ELECTRICAL DISTRIBUTION SYSTEMS USING RELIABILITY ANALYSIS WITH HEURISTIC ALGORITHM

AU - Santillán, Hólger

AU - Encalada, Gabriel

PY - 2024

Y1 - 2024

N2 - The main objective of this research is to improve the reliability of the electrical system under study by reducing both the frequency of outages (SAIFI) and the downtime of electrical service (SAIDI). These problems are largely affected by adverse weather conditions, vegetation growth, and bird contact. To carry out the analysis, the 5011 urban feeder of Canton La Troncal was selected, since it presents critical values in terms of reliability compared to other feeders. The proposed methodology involves a mathematical model of heuristic optimization based on the Particle Swarm Optimization (PSO) algorithm. Two scenarios are defined for the modeling: the first focuses on relocating the existing recloser and the second on analyzing the impact of adding additional protection equipment. These scenarios are validated and demonstrate their effectiveness, achieving an improvement of 29.05% in the first case and 70.93% in the second case within a real conventional distribution system.

AB - The main objective of this research is to improve the reliability of the electrical system under study by reducing both the frequency of outages (SAIFI) and the downtime of electrical service (SAIDI). These problems are largely affected by adverse weather conditions, vegetation growth, and bird contact. To carry out the analysis, the 5011 urban feeder of Canton La Troncal was selected, since it presents critical values in terms of reliability compared to other feeders. The proposed methodology involves a mathematical model of heuristic optimization based on the Particle Swarm Optimization (PSO) algorithm. Two scenarios are defined for the modeling: the first focuses on relocating the existing recloser and the second on analyzing the impact of adding additional protection equipment. These scenarios are validated and demonstrate their effectiveness, achieving an improvement of 29.05% in the first case and 70.93% in the second case within a real conventional distribution system.

KW - distribution system

KW - particle swarm algorithm

KW - recloser

KW - reliability

KW - SAIDI

KW - SAIFI

UR - https://www.scopus.com/pages/publications/85203326480

U2 - 10.29354/diag/192183

DO - 10.29354/diag/192183

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AN - SCOPUS:85203326480

SN - 1641-6414

VL - 25

JO - Diagnostyka

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ER -

RECLOSER OPTIMIZATION IN ELECTRICAL DISTRIBUTION SYSTEMS USING RELIABILITY ANALYSIS WITH HEURISTIC ALGORITHM

Abstract

Bibliographical note

Keywords

CACES Knowledge Areas

Access to Document

Other files and links

Electricity Generation Through the Internet of Things Integration of Mini Generators Connected to a House's Drinking Water Pipes (Mini Turbines & IOT)

Cite this

RECLOSER OPTIMIZATION IN ELECTRICAL DISTRIBUTION SYSTEMS USING RELIABILITY ANALYSIS WITH HEURISTIC ALGORITHM

Abstract

Bibliographical note

Keywords

CACES Knowledge Areas

Access to Document

Other files and links

Projects

Electricity Generation Through the Internet of Things Integration of Mini Generators Connected to a House's Drinking Water Pipes (Mini Turbines &amp; IOT)

Cite this

Electricity Generation Through the Internet of Things Integration of Mini Generators Connected to a House's Drinking Water Pipes (Mini Turbines & IOT)