Optimal allocation of communications resources for energy management systems
DOI:
https://doi.org/10.29019/enfoqueute.v10n1.447Keywords:
optimization; Greedy; k-means; cellular communications; smart gridsAbstract
This article proposes the optimal resource allocation of radio channels available in cellular networks for the transmission of data from the smart meters to information management systems. The model designed identifies and counts the subscribers of the electricity sector in a geographical area; through the kmeans algorithm the cellular radio bases are located. The optimal location of radio bases provides communication to all devices within its coverage radius. The communication channels available for data transmission are optimized using the Greedy algorithm, which set the time when smart meters must send their data through the disused communication channels.
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References
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Carrión, D., González, J. W., & López, G. J. (2017). Optimal Fault Location in Transmission Lines Using Hybrid Method. 2017 IEEE PES Innovative Smart Grid Technologies Conference, 6. https://doi.org/10.1109/ISGT-LA.2017.8126757
Ekanayake, J., & Liyanage, K. (2012). Smart Grid Technology and Applications. (Wiley, Ed.) (First edit). New Delhi.
Ekpenyong, M., Isabona, J., & Isong, E. (2016). Handoffs decision optimization of mobile celular networks. Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015, (ii), 697–702. https://doi.org/10.1109/CSCI.2015.155
Gungor, V. C., Sahin, D., Kocak, T., Ergut, S., Buccella, C., Cecati, C., & Hancke, G. P. (2013). A Survey on smart grid potential applications and communication requirements. IEEE Transactions on Industrial Informatics, 9(1), 28–42. https://doi.org/10.1109/TII.2012.2218253
Inga Ortega, E., Inga, J., Correa, E., & Hincapié, R. (2018). Reconstrucción del patrón de consumo eléctrico a partir de Big Data mediante técnica de MapReduce. Enfoque UTE, 9(1), 177–187. https://doi.org/10.29019/enfoqueute.v9n1.220
Maldonado, M. G. R. (2017). Wireless Sensor Network for Smart Home Services Using Optimal Communications. 2017 International Conference on Information Systems and Computer Science (INCISCOS), 27–32. https://doi.org/10.1109/INCISCOS.2017.21
Matos, L. O., & Sanchez, J. W. G. (2016). Reconfiguration strategy for Fault Tolerance of power Distribution Systems using Petri net. 2016 IEEE Ecuador Technical Chapters Meeting, ETCM 2016, 1–6. https://doi.org/10.1109/ETCM.2016.7750820
Moscoso Zea, O. (2012). Megastore: structured storage for Big Data. Enfoque UTE, 3(2), 01. https://doi.org/10.29019/enfoqueute.v3n2.1
Ruiz, M. (2016). Diseño de un sistema híbrido inalámbrico-fibra para transmisión de datos de medidores inteligentes de energía en redes Smart Grid. Pontificia Universidad Católica del Ecuador. Retrieved from http://repositorio.puce.edu.ec/handle/22000/11293
Ruiz, M., Masache, P., & Dominguez, J. (2018). High Availability Network for Critical Communications on Smart Grids, (Ssn), 1–5.
Ruiz, M., Masache, P., & Inga, E. (2018). Optimal Communications for Smart Measurement of Electric Energy Reusing Cellular Networks. 2018 International Conference on Information Systems and Computer Science (INCISCOS), 198–204. https://doi.org/10.1109/INCISCOS.2018.00036
Zhang, Z., Liu, F., & Zeng, Z. (2017). The cell zooming algorithm for energy efficiency optimization in heterogeneous cellular network. 2017 9th International Conference on Wireless Communications and Signal Processing, WCSP 2017 - Proceedings, 2017–January, 1–5. https://doi.org/10.1109/WCSP.2017.8171171
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Published
2019-03-29
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Section
Automation and Control, Mechatronics, Electromechanics, Automotive
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How to Cite
Optimal allocation of communications resources for energy management systems. (2019). Enfoque UTE, 10(1), pp. 141 - 152. https://doi.org/10.29019/enfoqueute.v10n1.447
