Investigation of Bandwidth Requirement of Smart Meter Network Using OPNET Modeler

DOI: 10.4236/sgre.2013.44044   PDF   HTML     6,155 Downloads   9,156 Views   Citations


Smart meter networks are the backbone for smart electrical distribution grid. Smart meter network requires the bidirectional communications medium and interoperability capability. As thousands of meters are interconnected in the smart meter network, it is vital to select an appropriate communication bandwidth to facilitate real-time two-way information flows and this will also allow further uptake of greenhouse-friendly technology options and enhance energy security. Optimized Network Engineering Tools (OPNET) Modeler is one of most powerful simulation tools for the analysis of communication networks. In this paper, several models of different structured smart meter networks were developed with network parameters which were connected with different communication links such as 10 BaseT and 100 BaseT in order to measure propagation delay, throughput, and utilization of the network. It was found that the propagation delay decreases with higher bandwidth. The other network parameters, namely network utilization and network throughput were also analysed. Based on the investigation, it is recommended that the 100 BaseT communication link is suitable for the smart meter network. The outcome of this paper provided a guideline to the future smart meter network developer so as to avoid catastrophic challenges faced by some of the distribution companies.

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M. Rahman and A. Mto, "Investigation of Bandwidth Requirement of Smart Meter Network Using OPNET Modeler," Smart Grid and Renewable Energy, Vol. 4 No. 4, 2013, pp. 378-390. doi: 10.4236/sgre.2013.44044.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] H. Dellwing, S. Geretshuber, C. Schwaegerl and O. Seifert, “Power System Survivability Increase with Intelligent Support Tools,” IEEE Conference on Power & Energy Society General Meeting, Calgary, 26-30 July 2009, pp. 1-6.
[2] Ferry August via Wan, “Voltage Control and Voltage Stability of Power Distribution Systems in the Presence of Distributed Generation,” A Thesis for Degree of Doctor of Philosophy, Division of Electric Power Engineering, Department of Energy and Environment, Chalmers University of Technology, Goteborg, 2008.
[3] N. Jenkins, R. Allan, P. Crossley, D. Kirschen and G. Strbac, “Embedded Generation,” The Institution of Electrical Engineers, London, 2000.
[4] T. A. Short, “Electric Power Distribution Handbook,” CRC Press LLC., Boca Raton, 2004.
[5] T. Gonen, “Electric Power Distribution System,” McGrawHill Book Company, New York, 1986.
[6] M. L. Chan, KEMA, Inc., “Smart Grid—Future Distribution System Infrastructure,” Comments on Distribution System Infrastructure Docket No. 06-IEP-IF, Sunnyvale, May 2007.
[7] “Smart Networks Position Paper,” Technical Report, Energy Network Associations, September 2009.
[8] Energy Retail Association, “Smart Meters.”
[9] S. P. Carullo and C. O. Nwankpa, “Experimental Studies and Modelling of an Information Embedded Power System,” Proceedings of the 36th Hawaii International Conference on System Sciences, Big Island, 6-9 January 2003, pp. *.
[10] M. T. O. Amanullah, “Experimental Analysis and Modelling of an Information Embedded Power System,” A Thesis of Doctor of Philosophy, Victoria University, 2006.
[11] S. Marvin, H. Chappells and S. Guy, “Pathways of Smart Metering Development: Shaping Environmental Innovation,” Computers, Environment and Urban Systems, Vol. 23, No. 2, 1999, pp. 109-126. doi:10.1016/S0198-9715(99)00011-3
[12] C. Halliday and M. D. Urquhart, “Network Monitoring and Smart Meters,” 2008.
[13] “Smart Grid,” Wikipedia Foundation Inc., 2009.
[14] “Networking the Smart Grid,” Technical Report: A Troops Networks White Paper, April 2009.
[15] L. Sollecito, “Smart Grid: The Road Ahead,” Techcial Report, IntelliGrid Architecture Report: Volume 1, IntelliGrid User Guidelines and Recommendations, EPRI, 2009, pp. 15-19.
[16] J. Z. Wu and N. Jenkins, “Self-Adaptive and Robust Method for distribution Network Load and State Estimation,” 16th Power Systems Computation Conference, Glasgow, 14-18 July 2008.
[17] Y. He, N. Jenkins, J. Z. Wu and M. Eltayed, “ICT Infrastructure for Smart Distribution Networks,” 14th IEEE International Symposium on Power Line Communications and Its Applications, Rio de Janeiro, 28-31 March 2010.
[18] P. Wolfs and S. Islam, “Potential Barriers to Smart Grid Technology in Australia,” Power Engineering Conference, Adelaide, 27-30 September 2009.
[19] Department of Primary Industries, Victoria, “Advanced Metering Infrastructure—Minimum AMI Functionality Specification (Victoria),” 2008.
[20] European Technology Platform SmartGrids, “Strategic Research Agenda for Europe’s Electricity Networks of the Future,” European Commission, Directorate-General for Research, Directorate Energy, 2007.
[21] Opnet Modeler, OPNET Technologies Inc.
[22] Y. Ravikumar and S. K. Chittamuru, “A Case Study on MANET Routing Protocols Performance over TCP and HTTP,” Master Thesis, Blekinge Institute of Technology, Sweden.
[23] R. Tahboub, D. Lazarescu and V. Lazarescu, “Modeling and Simulation of Secure Automatic Energy Meter Reading and Management System using Mobile Agents,” IJCSNS International Journal of Computer Science and Network Security, Vol. 7, No. 1, 2007, pp. 244-253.
[24] A. Zaballos, G. J. Ravera, A. Vallejo and J. M. Selga, “Simulation and Modelling of the Coexistence of Polling and Contention in PLC Based AMR System,” IEEE International Symposium on Power Line Communications and Its Applications, Pisa, 26-28 March 2007, pp. 110115.
[25] K. Brown and L. Christianson, “OPNET Lab Manual to Accompany Business Data and Communications,” 2005.
[26] N. Albort, M. Keyvani, M. Nikolic and L. Trajkovic, “Simulation of Packet Data Networks Using OPNET,” 2005.
[27] W. A. Shay, “Understanding Data Communication and Network,” 2nd Edition, PWS-Kent, Boston, 1995.

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