Communication Network of Wide Area Measurement System for Real-Time Data Collection on Smart Micro Grid

  • Varna C. PrakashEmail author
  • P. Sivraj
  • K. K. Sasi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 394)


This paper deals with communication architecture employing appropriate communication technologies for distribution side Wide Area Measurement System (WAMS). The different communication technologies like WiredLAN, WLAN, ZigBee protocol are simulated in ns2 considering a 5-bus smart micro-grid topology and the performance metrics are compared and analysed based on the standard requirements in order to suggest the apt technology. The study shows that in comparison with a homogeneous network, a heterogeneous network provides a better result considering the operational demands at different levels of the smart distribution grid architecture.


WAMS Smart grid Communication technologies 


  1. 1.
    Sahraeini M, Javidi MH. Wide area measurement systems. In: Md. ZahurulHaq, editor. Advanced topics in measurements.Google Scholar
  2. 2.
    Nithin S, Sivraj P, Sasi KK, Lagerstom R. Development of a real time data collection unit for distributionnetwork in a smart grid. International conference on power and energy systems: towards sustainable energy, ASE Bangalore, India, 15 March 2014.Google Scholar
  3. 3.
    Nithin S, Sasi KK, Nambiar TNP. Development of smart grid simulator. Proceedings of national conference on power distribution, CPRI, India, 2012.Google Scholar
  4. 4.
    Singh B, Sharma NK, Tiwari AN, Verma KS, Singh SN. Applications of phasor measurement units (PMUs) in electric power system networks incorporated with FACTS controllers. Int J Eng Sci Technologym. 2011;3(3):64–82.Google Scholar
  5. 5.
    Güngör VC, Sahin D, Kocak T, Ergüt S, Buccella C, Cecati C, Hancke GP. Smart grid technologies: communication technologies and standards. IEEE Trans Ind. Inf. November 2011;7(4):529–539.Google Scholar
  6. 6.
    Gajrani K, Sharma KG, Bhargava A. Performance assessment of communication network in WAMS. Int J Distrib Parallel Syst (IJDPS). November 2012;3(6).Google Scholar
  7. 7.
    Eissa MM, Allam AM, Mahfouz MMA, Gabbar H. Wireless communication requirements selection according to PMUs data transmission standard for smart grid. IEEE international conference on smart grid engineering (SGE’12). 27–29 August 2012, UOIT, Oshawa, ON, Canada.Google Scholar
  8. 8.
    Kansal P, Bose A. Bandwidth and latency requirements for smart transmission grid applications. IEEE Trans Smart Grid. September 2012;3(3):1344–1352.Google Scholar
  9. 9.
    Martin KE, Hamai D, Adamiak MG, Anderson S, Begovic M, Benmouyal G, Brunello G, Burger J, Cai JY, Dickerson B, Gharpure V, Kennedy B, Karlsson D, Phadke AG, Salj J, Skendzic V, Sperr J, Song Y, Huntley C, Kasztenny B, Price E. Exploring the IEEE Standard C37.118–2005. Synchrophasor for Power Systems. IEEE standards, October 2008.Google Scholar
  10. 10.
  11. 11.
    Gungor VC, Lambert FC. A survey on communication networks for electric system automation. Comput Netw. 2006;50:877–897. Google Scholar
  12. 12.
    Chhimwal MP, Rai DS, Rawat D. Comparison between different wireless sensor simulation tools. IOSR J Electron Commun Eng (IOSR-JECE). March–April 2013;5(2):54–60.Google Scholar
  13. 13.
    Sarath TV, Sivraj P. Simulation and analysis of communication technology for a smart grid framework. International conference on communication and computing. Elsevier Publications; 2014.Google Scholar
  14. 14.
    Simmhan Y, et al. Cloud-based software platform for data-driven smart grid management. IEEE/AIP computing in science and engineering; 2013.Google Scholar

Copyright information

© Springer India 2016

Authors and Affiliations

  1. 1.Electrical and Electronics EngineeringAmrita School of EngineeringCoimbatoreIndia

Personalised recommendations