Author:
Daniel Valencia Rincón Carlos,Revelo Alvarado Daniel,Vélez Varela Fernando
Abstract
The continuous monitoring of electrical consumption helps to understand energy expenditure in functional consumption environments, such as campuses. For this reason, this work details the development of a mechanism that can do so, such as a network of sensors that is available in a telemetry system, which is determined to perform the acquisition and analysis of energy parameters. These actions are based on the concepts of Internet of Things (IoT) and Big Data. The acquired data are sent in a virtual local area network (VLAN), which is connected to a database server located in the campus environment, using the IoT concept, through the IEEE802.11/IEEE802.3 standards, so that later the analysis and monitoring of the electrical network can be carried out. For the construction of this prototype, noninvasive current sensors connected to a three-phase meter and a communication card are used to extract data from the meter and send it to the database. In the results, the possibility of specifying 30 energy parameters is obtained, with a packet loss rate equal to zero. With this network of sensors, whatever is in operation, such as low-voltage electrical power transformers, distribution boards, among others, can become intelligent data collection devices, from which information is extracted in real time by telemetry.
Reference23 articles.
1. Carrasco Chipantiza LF. Sistema de monitoreo y telegestión del consumo eléctrico en cargas residenciales basado en una arquitectura IoT [En línea]. Carrera de Ingeniería En Electrónica y Comunicaciones, Facultad de Ingeniería En Sistemas, Electrónica e Industrial, Universidad Técnica de Ambato; 2018. Available from: https://repositorio.uta.edu.ec/handle/123456789/28809
2. Van Aubel PE. Smart metering in the Netherlands: What, how, and why. International Journal of Electrical Power & Energy Systems. 2019;109:719-725
3. Collins Mendoza MJ, Lucas Villao II, Silva Becherán JM. Análisis de evento de calidad de energía en una red eléctrica de baja tensión mediante el analizador MPQ2000 Megger. Repositorio Institucional de La Universidad Politécnica Salesiana; 2020
4. Neve VG, Pullawar PV, Kidile CH. Power quality issues & detection methods for voltage sag and swell. International Journal of Research in Biosciences, Agriculture and Technology. 2020;II(Special-16):71-79
5. Avancini DB, Rodrigues JJPC, Martins SGB, Rabêlo RAL, Al-Muhtadi J, Solic P. Energy meters evolution in smart grids: A review. Journal of Cleaner Production. 2019;217:702-715