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

Grupo de Investigación en Sistemas de Telecomunicaciones (GISTEL)

Producción científica: Contribución a una revista › Artículo › revisión exhaustiva

2 Citas (Scopus)

Resumen

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.

Idioma original	Inglés
Número de artículo	2024313
Publicación	Diagnostyka
Volumen	25
N.º	3
DOI	https://doi.org/10.29354/diag/192183
Estado	Publicada - 2024

Nota bibliográfica

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

Areas de Conocimiento del CACES

317A Electricidad y energía

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10.29354/diag/192183

Otros archivos y enlaces

Enlace a la publicación en Scopus

Generación de Energía Eléctrica Mediante la Integración a Internet de las Cosas de Mini Generadores Conectados a las Tuberías de Agua Potable de una Casa (Mini Turbinas e IOT)
Santillan Carranza, H. J. (Investigador principal), Colcha Chacon, L. I. (Estudiante Investigador), Mejia Orellana, J. A. (Estudiante Investigador), Peregrina Wong Wong, M. A. (Investigador Externo), Alcivar Alvarado, K. J. (Estudiante Investigador), Alcivar Sanchez, A. S. (Estudiante Investigador), Bohorquez Reyes, L. E. (Estudiante Investigador), Chacon Garcia, P. M. (Estudiante Investigador), Feijoo Roman, C. M. (Estudiante Investigador), Larrea Onofre, A. A. (Estudiante Investigador), Martinez Cedeño, M. L. (Estudiante Investigador), Mendoza Bernal, C. E. (Estudiante Investigador), Mora Madrid, M. A. (Estudiante Investigador), Muñoz Herrera, W. I. (Estudiante Investigador), Nieto Zambrano, N. A. (Estudiante Investigador), Ochoa Ayala, J. D. (Estudiante Investigador), Ordoñez Guzman, J. A. (Estudiante Investigador), Pesantez Carcelen, J. P. (Estudiante Investigador), Quezada Funes, K. Y. (Estudiante Investigador), Quiñonez Santos, N. D. (Estudiante Investigador), Ramirez Carrera, R. S. (Estudiante Investigador), Ramos Mendez, A. F. (Estudiante Investigador), Sanchez Piza, P. J. (Estudiante Investigador) & Vargas Vinueza, A. E. (Estudiante Investigador)
4/08/21 → …
Proyecto: Investigación y Desarrollo

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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.",

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

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

Resumen

Nota bibliográfica

Areas de Conocimiento del CACES

Acceder al documento

Otros archivos y enlaces

Huella

Proyectos

Generación de Energía Eléctrica Mediante la Integración a Internet de las Cosas de Mini Generadores Conectados a las Tuberías de Agua Potable de una Casa (Mini Turbinas e IOT)

Citar esto