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Performance Analysis of Smart Grid Communication Network Architecture for WAMS

  • S. PremkumarEmail author
  • M. Susithra
  • V. Saminadan
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 33)

Abstract

In recent years, wide area monitoring systems’ (WAMS) communication infrastructure plays a crucial role in the transformation to smart grid for real-time delivery of data with low latency. The advancement of WAMS has to be meticulously designed by optimizing the power systems and communication infrastructure. The performance of the communication infrastructure relies on the optimal placement of phasor measurement units (PMUs) in the power system. In the modified IEEE 14 bus system the optimal PMU placement and its backbone communication network has been designed and analyzed. With optimum number of PMUs for complete observability and minimal distance between PMUs and control centers effective monitoring is achieved for the stable operation of the grid. The minimal path between the PMUs to the control centers were obtained by Dijkstra algorithm. Finally using opnet the communication network has been analyzed using different routing protocols. The simulation results are analyzed and it shows that Multiprotocol Label Switching (MPLS) based PMU data transfer provides better performance.

Keywords

Wide area monitoring system Phasor measurement unit Control center bus Multiprotocol label switching 

References

  1. 1.
    Bhonsle JS, Junghare AS (2015) An optimal PMU-PDC placement technique in wide area measurement system. In: Smart technologies and management for computing, communication, controls, energy and materials (ICSTM), International conference on energy and materials. pp 401–405Google Scholar
  2. 2.
    Fesharaki FH, Hooshmand RA, Khodabakhshian A (2013) A new method for simultaneous optimal placement of PMUs and PDCs for maximizing data transmission reliability along with providing the power system observability. Electr Power Syst Res 100:43–54CrossRefGoogle Scholar
  3. 3.
    Gajrani K, Sharma KG, Bhargava A (2012) Performance assessment of communication network in WAMS. Int J Distrib Parallel Syst 3(6):127–137CrossRefGoogle Scholar
  4. 4.
    Ivanov M, Dimova R (2014) PMU traffic evaluation in wide area monitoring and control systems. Comput Syst Commun 3(1):3–11Google Scholar
  5. 5.
    Ghasemkhani A, Monsef H, Rahimi-Kian A, Anvari-Moghaddam A (2015) Optimal design of a wide area measurement system for improvement of power network monitoring using a dynamic multiobjective shortest path algorithm. IEEE Syst J 99:1–12Google Scholar
  6. 6.
    Nikumbh BM (2016) Optimal placement of PMUs considering logical topology of communication medium power system observability (Master’s thesis, UiT Norges arktiske university of Norges)Google Scholar
  7. 7.
    Korkali M, Abur A (2011) Transmission system fault location using limited number of synchronized recorders. In: International conference on power system transients proceedingsGoogle Scholar
  8. 8.
    Perkonigg F, Brujic D, Ristic M (2015) Platform for multiagent application development incorporating accurate communications modeling. IEEE Trans Industr Inf 11(3):728–736CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Pondicherry Engineering CollegePillaichavadyIndia

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