RELIABILITY ANALYSIS FOR A FEEDER OF AN ELECTRIC POWER DISTRIBUTION COMPANY IN ECUADOR USING THE MONTE CARLO SIMULATION METHOD
- Cesar Uriel Moreira Sanchez ,
- Khisner Wilber Mena Vélez
, - Diego Patricio Peña Banegas ,
- Cristian Samuel Laverde Albarracín
Abstract
The present study focuses on the analysis of the reliability indices for the distribution feeder belonging to an Ecuadorian electricity distribution company, reliability analysis is currently a topic of vital importance when making decisions in the area. technique for the electrical supply, in this way, in the first instance, a general evaluation of the feeder is carried out with the objective of collecting important information focused on; areas of influence, global indicators, failures and their causes. With the collection of information, we proceed to design a computational algorithm in the Matlab environment following the Montecarlo simulation methodology because this allows us to evaluate complex mathematical expressions with greater accuracy, concluding with results that allow us to estimate the reliability in the feeder. in order to take actions in the future in order to improve the reliability of the feeder.
Keywords
reliability, Montecarlo simulation, distribution feeder, indices
References
- J. Quintero, “Vista de Sistemas de producción y potencial energético de la energía mareomotriz,” Revista Ingeniería, Investigación y Desarrollo, vol. 16, pp. 1–7, Oct. 2015.
- J. Aguayo, REGULACION No. ARCERNNR-002/20, secretaria general del estado de Ecuador, 2020, pp. 1–36. Accessed: Oct. 12, 2022. [Online]. Available: https://www.controlrecursosyenergia.gob.ec/wpcontent/uploads/downloads/2021/01/Regulacion-002-20.pdf
- J. Ramírez, “Vista de Comparación de estimadores no paramétricos frente a los paramétricos frente a los paramétricos para la función de confiabilidad”15, pp. 1–10, Dec. 24, 2015.
- J. Rodriguez, Instalaciones de distribución (Edición 2020), 1st ed., vol. 1. Madrid: Ediciones Paraninfo,
- T. Short, Distribution Reliability and Power Quality, pp. 1–288, Jan. 2018, doi: 10.1201/9781420036480.
- R. Brown, Electric Power Distribution Reliability, Second Edition, pp. 1–484, Jan. 2017, doi:10.1201/9780849375682.
- S. Swagata, Fault Location in Transmission and Distribution Systems: Principles and Applications, pp. 1–288, 2021, Accessed: Jul. 23, 2022.
- A. Anand and M. Ram, System Reliability Management: Solutions and Technologies, p. 277, Accessed: Oct. 13, 2022.
- } C. Graham, Stochastic Simulation and Monte Carlo Methods, 1ra ed., vol. I. New York: Springer Heidelberg, 2015. Accessed: Oct. 13, 2022.
- M. Metodi, The Monte Carlo Method: Engineering Applications, 1st ed., vol. I. ACMO Academic Press, 2018. Accessed: Oct. 13, 2022.