Skip to main content

Placement of Synchrophasors Using Linear Programming and Zero-Injection Constraints

  • Chapter
  • First Online:
Distributed Linear Programming Models in a Smart Grid

Part of the book series: Power Electronics and Power Systems ((PEPS))

  • 882 Accesses

Abstract

This chapter presents a linear-programming-based optimal solution for an Optimal Placement Problem (OPP) of Synchrophasors or Phasor Measurement Units (PMU). With the increasing use of Synchrophasors for smart-grid monitoring and control, the problem with PMU placement has become a major concern due to its large installation costs. This chapter utilizes an Integer Linear Programming (ILP) approach to find optimal solutions. We show that the performance of our LP constraints and the formulation makes the ILP approach very attractive for smaller utilities that have limited budgets. This is shown using with and without zero-injection cases in programmed AMPL language using CPLEX solver. We also propose an Optimal Redundancy Criterion (ORC) which assists utilities with providing redundant observability for critical buses in the system. Our approach yields full and redundant observabilities within a few milliseconds for different cases, such as IEEE 300 test systems and an Indian power grid.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 139.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Phadke, A. G. (1993). Synchronized phasor measurements in power systems. IEEE Computer Applications in Power, 6(2), 10–15.

    Article  MathSciNet  Google Scholar 

  2. Abur. (2004). Observability analysis and measurement placement for systems with PMUs, IEEE PES Power Systems Conference and Exposition, (1), 1472–1475.

    Google Scholar 

  3. Bei, X., Yoon, Y. J., & Abur, A. Optimal placement and utilization of phasor measurements for state estimation. Texas A&M University. Technical Report.

    Google Scholar 

  4. Chakrabarti, S., Kyriakides, E., & Eliades, D. G. (2009). Placement of synchronized measurements for power system observability. IEEE Transactions on Power Delivery, 24(1), 12–19.

    Article  Google Scholar 

  5. Dua, D., & Dambhare, S. (2008). Optimal multistage scheduling of PMU placement: An ILP approach. IEEE Transactions on Power Delivery, 23(4), 1812–1820.

    Article  Google Scholar 

  6. Member, S., & Begovic, M. (2003). Nondominated sorting genetic algorithm for optimal phasor measurement placement. IEEE Transactions on Power Systems, 18(1), 69–75.

    Google Scholar 

  7. Mahaei, S. H., & Hagh, M. T. (2012). Minimizing the number of PMUs and their optimal placement in power systems. Electric Power Systems Research, 83(1), 66–72.

    Article  Google Scholar 

  8. Aminifar, F., Member, S., Khodaei, A., Fotuhi-firuzabad, M., & Member, S. (2010). Contingency-constrained PMU placement in power networks. IEEE Transactions on Power Systems, 25(1), 516–523.

    Article  Google Scholar 

  9. Nuqui, R. F., Phadke, A. G., & Fellow, L. (2005). Phasor measurement unit placement techniques for complete and incomplete observability. IEEE Transactions on Power Delivery, 20(4), 2381–2388.

    Google Scholar 

  10. Saha Roy, B. K., Sinha, A. K., & Pradhan, A. K. (2012). An optimal PMU placement technique for power system observability. International Journal of Electrical Power & Energy Systems, 42(1), 71–77.

    Article  Google Scholar 

  11. Wen, M. H. F., & Li, V. O. K. (2013). Optimal PMU placement for wide-area monitoring using chemical reaction optimization. 2013 I.E. PES Innovative Smart Grid Technologies Conference (pp. 1–6), Feb.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Cite this chapter

Ranganathan, P., Nygard, K.E. (2017). Placement of Synchrophasors Using Linear Programming and Zero-Injection Constraints. In: Distributed Linear Programming Models in a Smart Grid. Power Electronics and Power Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-52617-1_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-52617-1_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52616-4

  • Online ISBN: 978-3-319-52617-1

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics