Recloser optimization in electrical distribution systems using reliability analysis with heuristic algorithm

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.

Authors

Institutions

Publication Details

Journal
Diagnostyka
Published
2024-08-26
DOI
https://doi.org/10.29354/diag/192183
Citations
1
Primary Topic
Power System Reliability and Maintenance
Type
article
Field-Weighted Citation Impact
0.36
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Recloser optimization in electrical distribution systems using reliability analysis with heuristic algorithm

Holger Jorge Santillán Carranza, Gabriel Encalada
1 citations
Diagnostyka
Power System Reliability and Maintenance
0.36
article

Recloser optimization in electrical distribution systems using reliability analysis with heuristic algorithm

Holger Jorge Santillán Carranza, Gabriel Encalada
article en
1 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.

DiagnostykaVol. 25(3)
Universidad de Las Palmas de Gran Canaria (ES), Politecnica Salesiana University (EC)
Affordable and clean energy
Openalex Percentile: Top 41%
Power System Reliability and Maintenance
0.36
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.