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<p>Micro-phasor measurement unit (μPMU) having single channel is a cost-effective distribution level synchrophasor device, known as branch-μPMU. However, when they are deployed in branches having higher failure rate, loss of observability of terminal nodes are prominent implying data unavailability and threats to network security. The proposed work solves the issue by quantifying risk of failure of branch (RoF) and deploying branch-μPMU along with conventional meters based on the quantified value of branch RoF. The proposed work evaluates the Markov Chain Model-based probability of branch unavailability and proposes a graphical method to establish a vulnerability threshold. After that, RoF evaluation of each branch is performed using Monte Carlo Simulation. The proposed work introduces a two-phase algorithm for deploying branch-μPMUs and conventional meters. At first phase, branch-μPMUs are installed considering RoF ranking and at second phase, conventional meters are deployed to ensure the complete system observability. The case study for IEEE 34 bus system shows that the assigned μPMU measuring branch having the maximum RoF value has 2.032% lower risk than the most unreliable branch. Similarly, for IEEE 69 bus system, the μPMU measuring branch with the maximum RoF value has 7.5% lower risk than the most unreliable branch.</p>

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Threshold detection for evaluating branch RoF and deploying μPMUs in distribution networks

  • 期刊论文

  • 发表日期：

    2026年2月27日

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  • Manas Mukherjee,
  • Biman Kumar Saha Roy

摘要

Micro-phasor measurement unit (μPMU) having single channel is a cost-effective distribution level synchrophasor device, known as branch-μPMU. However, when they are deployed in branches having higher failure rate, loss of observability of terminal nodes are prominent implying data unavailability and threats to network security. The proposed work solves the issue by quantifying risk of failure of branch (RoF) and deploying branch-μPMU along with conventional meters based on the quantified value of branch RoF. The proposed work evaluates the Markov Chain Model-based probability of branch unavailability and proposes a graphical method to establish a vulnerability threshold. After that, RoF evaluation of each branch is performed using Monte Carlo Simulation. The proposed work introduces a two-phase algorithm for deploying branch-μPMUs and conventional meters. At first phase, branch-μPMUs are installed considering RoF ranking and at second phase, conventional meters are deployed to ensure the complete system observability. The case study for IEEE 34 bus system shows that the assigned μPMU measuring branch having the maximum RoF value has 2.032% lower risk than the most unreliable branch. Similarly, for IEEE 69 bus system, the μPMU measuring branch with the maximum RoF value has 7.5% lower risk than the most unreliable branch.