Intelligent electrical energy measurement considering customers according to energy demand and minimum cost in resources communication
DOI:
https://doi.org/10.37431/conectividad.v3i1.30Keywords:
Advanced metering infrastructure, Smart meter, Penetration level, OptimizationAbstract
Meter replacement don’t have the technology for being integrated into an advanced measurement infrastructure is a worldwide need, although it is a great contribution by enabling scenarios for new energy markets that result in benefits for all actors inelectricity system, it carries with it great challenges at all levels, among them the study for its deployment and choice suitable technology, the result of the cost-benefit analysis is a determining factor in its adoption. This document presents a bibliographic review associated with different topics what tackles this problem of to cost optimization in information gathering from smart electric power meters according to the behavioral characteristics of the users. The study carried out through a bibliographic review of databases such as IEEE Xplore, Science Direct, MDPI, Springer, Taylor & Francis and Scielo getting to find several key aspects of measurement infrastructures such as existing data, technological communication trends and resource optimization trends used for this purpose. It also establishes several criteriaassociated to the planning of deployment smart measurement systems.
References
E. Inga, S. Cespedes, R. Hincapie, and C. A. Cardenas, "Scalable Route Map for Advanced Metering Infrastructure Based on Optimal Routing of Wireless Heterogeneous Networks," IEEE Wirel. Commun vol. 24, no. 2, pp. 26-33, 2017, https://doi.org/10.1109/MWC.2017.1600255
G. Dileep, "A survey on smart grid technologies and applications," Renew. Energy, vol. 146, pp. 2589-2625, 2020, https://doi.org/10.1016/j.renene.2019.08.092
S. Bera, S. Misra, and M. S. Obaidat, "Energy-efficient smart metering for green smart grid communication," 2014 IEEE Glob. Commun. Conf. GLOBECOM 2014, pp. 2466- 2471, 2014, https://doi.org/10.1109/GLOCOM.2014.7037178
J. Schleich, C. Faure, and M. Klobasa, "Persistence of the effects of providing feedback alongside smart metering devices on household electricity demand," Energy Policy, vol. 107, no. December 2016, pp. 225- 233, 2017, https://doi.org/10.1016/j.enpol.2017.05.002
N. Uribe-Pérez, L. Hernández, D. de la Vega, and I. Angulo, "State of the Art and Trends Review of Smart Metering in Electricity Grids," Appl. Sci., vol. 6, no. 3, pp. 1-24, 2016, https://doi.org/10.3390/app6030068
S. Zhou and M. A. Brown, "Smart meter deployment in Europe: A comparative case study on the impacts of national policy schemes," J. Clean. Prod., vol. 144, no. 2017, pp. 22- 32, 2017, https://doi.org/10.1016/j.jclepro.2016.12.031
M. G. Ruiz Maldonado and E. Inga, "Asignación óptima de recursos de comunicaciones para sistemas de gestión de energía," Enfoque UTE, vol. 10, no. 1, pp. 141-152, 2019, https://doi.org/10.29019/enfoqueute
G. van de Kaa, T. Fens, J. Rezaei, D. Kaynak, Z. Hatun, and A. Tsilimeni-Archangelidi, "Realizing smart meter connectivity: Analyzing the competing technologies Power line communication, mobile telephony, and radio frequency using the best worst method," Renew. Sustain. Energy Rev., vol. 103, no. December 2018, pp. 320-327, 2019, https://doi.org/10.1016/j.rser.2018.12.035
D. H. Shin and M. Bartolacci, "A study of MVNO diffusion and market structure in the EU, US, Hong Kong, and Singapore," Telemat. Informatics, vol. 24, no. 2, pp. 86-100, 2007, https://doi.org/10.1016/j.tele.2005.11.003
N. Chowdhury, F. Pilo, and G. Pisano, "Optimal energy storage system positioning and sizing with robust optimization," Energies, vol. 13, no. 3, 2020, https://doi.org/10.3390/en13030512
E. Inga-Ortega, A. Peralta-Sevilla, R. C. Hincapie, F. Amaya, and I. Tafur Monroy, "Optimal dimensioning of FiWi networks over advanced metering infrastructure for the smart grid," 2015 IEEE PES Innov. Smart Grid Technol. Lat. Am. ISGT LATAM 2015, pp. 30-35, 2016, https://doi.org/10.1109/ISGT-LA.2015.7381125
J. Inga, E. Inga, A. Ortega, R. Hincapíé, and C. Gómez, "Optimal Planning for Deployment of WiFi Networks based on Hybrid Heuristic Process," IEEE Lat. Am. Trans., vol. 15, no. 9, pp. 1684-1690, 2017, https://doi.org/10.1109/TLA.2017.8015053
D. Pérez, E. Inga, and R. Hincapié, "Optimal sizing of a network for smart metering," IEEE Lat. Am. Trans., vol. 14, no. 5, pp. 2114-2119, 2016, https://doi.org/10.1109/TLA.2016.7530403
S. Haben, C. Singleton, and P. Grindrod, "Analysis and clustering of residential customers energy behavioral demand using smart meter data," IEEE Trans. Smart Grid,vol. 7, no. 1, pp. 136-144, 2016, https://doi.org/10.1109/TSG.2015.2409786
Y. Wang, Q. Chen, C. Kang, and Q. Xia, "Clustering of Electricity ConsumptionBehavior Dynamics Toward Big Data Applications," IEEE Trans. Smart Grid, vol. 7, no. 5, pp. 2437-2447, 2016, https://doi.org/10.1109/TSG.2016.2548565
E. Pan, H. Li, L. Song, and Z. Han, "Kernel-based non-parametric clustering for load profiling of big smart meter data," 2015 IEEE Wirel. Commun. Netw. Conf. WCNC 2015, pp. 2251-2255, 2015, https://doi.org/10.1109/WCNC.2015.7127817
A. Hassan, Y. Zhao, L. Pu, G. Wang, H. Sun, and R. M. Winter, "Evaluation of clustering algorithms for DAP placement in wireless smart meter network," Proc. 2017 9th Int. Conf. Model. Identif. Control. ICMIC 2017, vol. 2018-March, no. Icmic, pp. 1085- 1090, 2018, https://doi.org/10.1109/ICMIC.2017.8321618
E. Inga, R. Hincapié, C. Suárez, and G. Arévalo, "Shortest path for optimal routing on Advanced Metering Infrastructure using cellular networks," 2015 IEEE Colomb. Conf. Commun. Comput. COLCOM 2015 - Conf. Proc., 2015, https://doi.org/10.1109/ColComCon.2015.7152078
M. Zaeri-Amirani, F. Afghah, and S. Zeadally, "A Hierarchical Spectrum Access Scheme for TV White Space Coexistence in Heterogeneous Networks," IEEE Access, vol. 6, pp. 78992-79004, 2018, https://doi.org/10.1109/ACCESS.2018.2885732
D. Makris, G. Gardikis, and A. Kourtis, "Quantifying TV white space capacity: A geolocation-based approach," IEEE Commun. Mag., vol. 50, no. 9, pp. 145-152, 2012, https://doi.org/10.1109/MCOM.2012.6295725
F. Abate, M. Carratù, C. Liguori, and V. Paciello, "A low-cost smart power meter for IoT," Meas. J. Int. Meas. Confed., vol. 136, pp. 59-66, 2019, https://doi.org/10.1016/j.measurement.2018.12.069
S. M. Téllez Gutiérrez, J. Rosero García, and R. Céspedes Gandarillas, "Advanced metering infrastructure in Colombia: benefits, challenges and opportunities," Ing. y Desarro., vol. 36, no. 2, pp. 469-488, 2018, https://doi.org/10.14482/inde.36.2.10711
F. Leferink, C. Keyer, and A. Melentjev, "Static energy meter errors caused by conducted electromagnetic interference," IEEE Electromagn. Compat. Mag., vol. 5, no. 4, pp. 49- 55, 2016, https://doi.org/10.1109/MEMC.2016.7866234
M. Kuzlu, M. Pipattanasomporn, and S. Rahman, "Communication network requirements for major smart grid applications in HAN, NAN and WAN," Comput. Networks, vol. 67, pp. 74-88, 2014, https://doi.org/10.1016/j.comnet.2014.03.029
T. A. Alaqeel and S. Suryanarayanan, "A comprehensive cost-benefit analysis of the penetration of Smart Grid technologies in the Saudi Arabian electricity infrastructure," Util. Policy, vol. 60, no. June, p. 100933, 2019, https://doi.org/10.1016/j.jup.2019.100933
I. L. Bedhiaf, O. Cherkaoui, and G. Pujolle, "Third-generation virtualized architecture for the MVNO context," Ann. des Telecommun. Telecommun., vol. 64, no. 5-6, pp. 339- 347, 2009, https://doi.org/10.1007/s12243-009-0108-z
A. Peralta, E. Inga, and R. Hincapié, "Optimal Scalability of FiWi Networks Based on Multistage Stochastic Programming and Policies," J. Opt. Commun. Netw., vol. 9, no. 12, p. 1172, 2017, https://doi.org/10.1364/JOCN.9.001172
G. Wang, Y. Zhao, J. Huang, Q. Duan, and J. Li, "A K-means-based network partition algorithm for controller placement in software defined network," 2016 IEEE Int. Conf. Commun. ICC 2016, 2016, https://doi.org/10.1109/ICC.2016.7511441
T. Ahmad, "Non-technical loss analysis and prevention using smart meters," Renew. Sustain. Energy Rev., vol. 72, no. January, pp. 573-589, 2017, https://doi.org/10.1016/j.rser.2017.01.100
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Instituto Superior Tecnológico Universitario Rumiñahui

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The originals published in the electronic edition under the first publication rights of the journal belong to the Instituto Superior Tecnológico Universitario Rumiñahui; therefore, it is necessary to cite the source in any partial or total reproduction. All the contents of the electronic journal are distributed under a Creative Commons Attribution-Noncommercial 4.0 International (CC-BY-NC 4.0) license.