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An Approach to Unravel the Optimal PMU Placement Problem for Full Observability of Power Network in View of Contingencies

Author

Listed:
  • Rohit Babu

    (Lendi Institute of Engineering and Technology)

  • Vikash Kumar Gupta

    (National Institute of Foundry and Forge Technology (NIFFT))

  • Kanna Subbaramaiah

    (Lendi Institute of Engineering and Technology)

Abstract

It is proposed in this paper to use a nonlinear programming-based methodology to solve the optimal phasor measurement unit (PMU) positioning problem for total power network observability while taking contingencies into account. Furthermore, the proposed procedure ensured that the power systems were fully observable not only under regular operation but even during the malfunction of a PMU and a line. Additionally, a voltage collapse proximity indicator is employed to pinpoint the location of the line loss. Moreover, the influence of zero injection buses is taken into attention in order to reduce the locations of the PMU even further. Several standard IEEE-14, -118, and -300 bus test networks, as well as the New England 39-bus test network, are used to validate the offered technique, which is then compared to various up-to-date published approaches. Finally, the findings demonstrate that the proposed process is uncomplicated to execute and that the minimum amount of PMU is reduced in some circumstances.

Suggested Citation

  • Rohit Babu & Vikash Kumar Gupta & Kanna Subbaramaiah, 2022. "An Approach to Unravel the Optimal PMU Placement Problem for Full Observability of Power Network in View of Contingencies," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(3), pages 1170-1186, June.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:3:d:10.1007_s13198-021-01412-4
    DOI: 10.1007/s13198-021-01412-4
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    References listed on IDEAS

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    1. Liao, Chung-Shou & Hsieh, Tsung-Jung & Guo, Xian-Chang & Liu, Jian-Hong & Chu, Chia-Chi, 2015. "Hybrid search for the optimal PMU placement problem on a power grid," European Journal of Operational Research, Elsevier, vol. 243(3), pages 985-994.
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