Advanced metering infrastructure system and massive data simulation, based on the smart grid concept.

Authors

Keywords:

Advanced metering infrastructure, power factor correction, data simulation.

Abstract

An advanced metering infrastructure (AMI) system has been designed to measure electrical parameters and transmit them to a database (DB) on the smart grid (SG) concept. The present system allows remote monitoring of electrical parameters for a single-phase residential service, able to automatically correct the power factor (PF) and upload information to a DB. The system’s performance has been tested by calculating non-homogeneous parameters of ten thousand residential users to simulate its massive operation. The geographical coverage of more than two thousand users clustered as a private wireless network can be ensured in line-of-sight. It has been estimated the reduction of average current consumption around 29%. Collected data in the DB can be used for modeling and optimization purposes in electricity generation and distribution according to demand-side management techniques.

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Author Biographies

MTIC. Rojas-Cortés, Polytechnic University of Pachuca

Adriana Lizeth Rojas-Cortés. She is student at the Master’s program in Information and Communication Technologies at the Polytechnic University of Pachuca, Mexico.  Her research interests are systems design, big data, internet of things, smart cities, applications development of embedded systems and data analysis.

Dr. Trejo-Macotela, Polytechnic University of Pachuca

Francisco Rafael Trejo-Macotela received the PhD. Degree in Electronics from the National Institute of Astrophysics, Optics and Electronics, Puebla, Mexico. Currently he is professor in the Master's in Mechatronics and Master's in ICT programs at the Polytechnic University of Pachuca, Mexico. His main research interests are Integrated Circuit Design, Analog and Digital Design, Embedded Systems, RF Electronics, Telecommunications Systems, Precision Agriculture, Internet of Things, among others.

Dr. Ramos-Fernández, Polytechnic University of Pachuca

Julio César Ramos-Fernández. was born on april 26th, 1967 in Pachuca city, Hidalgo Sate, Mexico. His studies are Double Degree (DD) of Philosophy (PhD) in the field of Computational Sciences in Mexico and PhD Engineering and Applied Science in France by an International agreement between France-Mexico ECOS-NORD/ANUIES-SEP-CONACYT, in 2008.  He Is a professor at Polytechnic University of Pachuca (PUP) in the graduate department in mechatronics, since 2008, and is the technical head of the National Laboratory in Autonomous Vehicles and Exoskeletons of the PUP campus by the National Council of Humanities, Science and Technology of Mexico (CONHACYT). His research interests lie in mechatronics systems, fuzzy logic modelling and control, applied to complex problems as modelling and control of microclimate in greenhouses and precision agriculture.

Dr. Simancas-Acevedo, Polytechnic University of Pachuca

Eric Simancas-Acevedo (Phd. in Electro-communications), graduated in 2015 from the National Polytechnic Institute (IPN-Mexico); he had a postgraduate stay study in Tokyo, Japan 2001-2003; He is currently a Senior Research Professor at the Polytechnic University of Pachuca in Engineering and Graduate department. His research interests include the signal and image processing, artificial intelligence, adaptive filters, neural networks, fuzzy logic, stochastic models, embedded systems, security and control systems based on biometric features and embedded systems.

Dr. Robles-Camarillo, Universidad Politécnica de Pachuca

Daniel Robles-Camarillo. He obtained his PhD. in Communications and Electronics from the National Polytechnic Institute (IPN-Mexico) in 2011. His research interests include the applications of embedded systems, electronic instrumentation and communication, wireless sensor networks, and cyberphysical systems, complemented by machine learning algorithms. Currently he is professor at the master’s program in Information and Communication Technologies and the PhD program in Advanced Sciences and Technologies at the Polytechnic University of Pachuca (Mexico).

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Published

2023-09-27

How to Cite

Rojas-Cortés, A. L., Trejo-Macotela, F. R., Ramos-Fernández, J. C. ., Simancas-Acevedo, E., & Robles Camarillo, D. (2023). Advanced metering infrastructure system and massive data simulation, based on the smart grid concept. IEEE Latin America Transactions, 21(11), 1199–1208. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/8215

Issue

Vol. 21 No. 11 (2023): Ordinary Issue

Section

Electric Energy

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