Review

Communication Network Simulation for Smart Metering Applications: A Review

Volume: 5 Number: 2 December 18, 2021
EN

Communication Network Simulation for Smart Metering Applications: A Review

Abstract

Many countries are witnessing the deployment of millions of smart meters, as they strive to upgrade their traditional grid to the smart grid already prominent in the developed parts of the world. Communication networks that can offer high-speed communication will be required for transmission of the copious amount of data resulting from the numerous smart meters and other intelligent electronic devices (IEDs) in the distribution network substation. Therefore, there is a need to critically assess the available communication infrastructure for eventual upgrade and deployment. In this paper, a survey of the communication network and networks simulation software used for this purpose was carried out, with specific emphasis on smart metering applications. Some critical requirements identified are security, quality of service (QoS) and optimal cost for system operation. Also discussed are methods employed in the works of literature to handle the critical issues raised. For data transmission between the meters and data concentrators; power line communication (PLC) was mostly cost-effective and hence, mostly deployed. In the wireless category, ZigBee (802.15.4), Wi-Fi (802.11), and WiMAX (802.16) among others are suitable and have been successfully deployed. OPNET, NS-3, NS-2, and OMNET++ have been successfully employed for communication network simulations in smart metering applications.

Keywords

Supporting Institution

This research was funded by TETFund Research Fund Grant 2020.

References

  1. [1] V. C. Gungor et al., “A Survey on Smart Grid Potential Applications and Communication Requirements,” IEEE Trans. Ind. Informatics, vol. 9, no. 1, pp. 28–42, 2013, doi: 10.1109/TII.2012.2218253.
  2. [2] Y. Wang, Q. Chen, T. Hong, C. Kang, and C. Y. Mar, “Review of Smart Meter Data Analytics : Applications, Methodologies, and Challenges,” no. June, pp. 1–24, 2017.
  3. [3] M. Vogt, F. Marten, and M. Braun, “A survey and statistical analysis of smart grid co-simulations,” Applied Energy, vol. 222, no. September 2017. Elsevier, pp. 67–78, 2018, doi: 10.1016/j.apenergy.2018.03.123.
  4. [4] W. Li and X. Zhang, “Simulation of the smart grid communications: Challenges, techniques, and future trends,” Comput. Electr. Eng., vol. 40, no. 1, pp. 270–288, 2014, doi: 10.1016/j.compeleceng.2013.11.022.
  5. [5] K. Mets, J. A. Ojea, and C. Develder, “Combining Power and Communication Network Simulation For Cost-Effective Smart Grid Analysis,” IEEE Commun. Surv. Tutorials, vol. 16, no. 3, pp. 1771–1796, 2014, doi: 10.1109/SURV.2014.021414.00116.
  6. [6] Y. Kabalci, “A survey on smart metering and smart grid communication,” Renewable and Sustainable Energy Reviews, vol. 57. Elsevier, pp. 302–318, 2016, doi: 10.1016/j.rser.2015.12.114.
  7. [7] N. I. Sarkar, S. Member, and S. A. Halim, “A Review of Simulation of Telecommunication Networks : Simulators , Classification , Comparison , Methodologies , and Recommendations,” no. May, 2014.
  8. [8] C. Rehtanz and X. Guillaud, “Real-time and co-simulations for the development of power system monitoring, control and protection,” 2016, doi: 10.1109/PSCC.2016.7541030.

Details

Primary Language

English

Subjects

Engineering

Journal Section

Review

Authors

Sunday Olayanju
0000-0001-8139-6390
Nigeria

Akinlolu Ponnle
0000-0002-1040-3829
Nigeria

Oluwafemi Sarumi
0000-0001-6463-1029
Nigeria

Publication Date

December 18, 2021

Submission Date

December 4, 2020

Acceptance Date

March 11, 2021

Published in Issue

Year 1970 Volume: 5 Number: 2

APA
Dahunsi, F., Olayanju, S., Ponnle, A., & Sarumi, O. (2021). Communication Network Simulation for Smart Metering Applications: A Review. Journal of Innovative Science and Engineering, 5(2), 101-128. https://doi.org/10.38088/jise.835725
AMA
1.Dahunsi F, Olayanju S, Ponnle A, Sarumi O. Communication Network Simulation for Smart Metering Applications: A Review. JISE. 2021;5(2):101-128. doi:10.38088/jise.835725
Chicago
Dahunsi, Folasade, Sunday Olayanju, Akinlolu Ponnle, and Oluwafemi Sarumi. 2021. “Communication Network Simulation for Smart Metering Applications: A Review”. Journal of Innovative Science and Engineering 5 (2): 101-28. https://doi.org/10.38088/jise.835725.
EndNote
Dahunsi F, Olayanju S, Ponnle A, Sarumi O (December 1, 2021) Communication Network Simulation for Smart Metering Applications: A Review. Journal of Innovative Science and Engineering 5 2 101–128.
IEEE
[1]F. Dahunsi, S. Olayanju, A. Ponnle, and O. Sarumi, “Communication Network Simulation for Smart Metering Applications: A Review”, JISE, vol. 5, no. 2, pp. 101–128, Dec. 2021, doi: 10.38088/jise.835725.
ISNAD
Dahunsi, Folasade - Olayanju, Sunday - Ponnle, Akinlolu - Sarumi, Oluwafemi. “Communication Network Simulation for Smart Metering Applications: A Review”. Journal of Innovative Science and Engineering 5/2 (December 1, 2021): 101-128. https://doi.org/10.38088/jise.835725.
JAMA
1.Dahunsi F, Olayanju S, Ponnle A, Sarumi O. Communication Network Simulation for Smart Metering Applications: A Review. JISE. 2021;5:101–128.
MLA
Dahunsi, Folasade, et al. “Communication Network Simulation for Smart Metering Applications: A Review”. Journal of Innovative Science and Engineering, vol. 5, no. 2, Dec. 2021, pp. 101-28, doi:10.38088/jise.835725.
Vancouver
1.Folasade Dahunsi, Sunday Olayanju, Akinlolu Ponnle, Oluwafemi Sarumi. Communication Network Simulation for Smart Metering Applications: A Review. JISE. 2021 Dec. 1;5(2):101-28. doi:10.38088/jise.835725

Cited By


Creative Commons License

The works published in Journal of Innovative Science and Engineering (JISE) are licensed under a  Creative Commons Attribution-NonCommercial 4.0 International License.