The contribution of fault indicators to smart grids

The contribution of fault indicators to smart grids

Authors

DOI:

https://doi.org/10.22458/caes.v13i2.4490

Keywords:

Smart Grid, fault indicator, data concentrator unit, internet of things, algorithm, Python, open source, remote communication, three-phase medium voltage power grid, Final Graduation Project (TFG), Supervisory Control and Data Acquisition (SCADA), Advanced Distribution Management System (ADMS)

Abstract

The electricity sector has many challenges, one of them is related to the use of systems with a high level of reliability and availability, because customers have become more dependent on electricity, for instance: engage new transnational companies that seek to establish operations in the country, provide statistical data to improve business administration, improve customer satisfaction, among others.

This research included the use of sensors in a smart grid to detect faults in less time (depending on its location and amount). The results obtained from the investigation were a better monitoring of the medium voltage grid electrical variables, an efficient reaction time due to the segmentation of the route’s grid, savings in unsold energy, and others.

It was found that the recovery period of the initial investment is less than a 10 years period, and a sensitivity analysis was executed in which the preliminary economic viability of the project was presented.

References

ARESEP. (2020). Informe de Calidad. San José.

Katic, N., Marijanovic, V., & Stefani, I. (2010). Smart grid solutions in distribution networks Cost/Benefit analysis. Serbia: China International Conference on Electricity Distribution.

MINAE. (2021). Estrategia nacional de redes eléctricas inteligentes 2021-2031. San José.

Sánchez Vargas, R. (2017). Smart Grids: Experiencias en el Desarrollo de Proyectos Pilotos en Perú. Obtenido de https://www.endesa.com/content/dam/enel-pe/medios/pdf/Smart%20Grids%20ENEL%20CIP.PDF

Published

2022-11-30

How to Cite

Vargas-Arguedas, G. A., & Flores-Cordero, D. E. (2022). The contribution of fault indicators to smart grids. Revista Electrónica Calidad En La Educación Superior, 13(2), 149–167. https://doi.org/10.22458/caes.v13i2.4490

Issue

Section

I International Conference on Academic Quality Management in Higher Education Institutions
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