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Temporal assessment of operational resilience of transmission network and adaptation measures for a high-impact long duration cyclonic windstorm

Sustainable Energy, Grids and Networks, ISSN: 2352-4677, Vol: 39, Page: 101465
2024
  • 1
    Citations
  • 0
    Usage
  • 19
    Captures
  • 1
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    1
  • Captures
    19
  • Mentions
    1
    • News Mentions
      1
      • News
        1

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Reports from Malaviya National Institute of Technology Advance Knowledge in Sustainable Energy Grids and Networks (Temporal Assessment of Operational Resilience of Transmission Network and Adaptation Measures for a High-impact Long Duration ...)

2024 SEP 02 (NewsRx) -- By a News Reporter-Staff News Editor at Network Daily News -- Research findings on Energy Grids and Networks - Sustainable

Article Description

The exposure to High-Impact Low-Probability (HILP) events can have significant impact on the performance of transmission networks. Under such conditions, the power system components must be resilient and robust to meet the uninterrupted load demand. This paper proposes a quantitative framework for temporal assessment of operational resilience of transmission network and suggests suitable adaptation measures when the system is subjected to high impact cyclonic windstorm lasting for a long duration. The fragility curves of transmission lines are correlated with wind profiles during cyclone and failure probability each transmission line is determined using the Monte Carlo Simulation (MCS) The operational resilience of transmission networks is quantified by computing Total Transfer Capability (TTC), Available Transfer Capability (ATC), Existing Transmission Uses (ETU), Total Reliability Margin (TRM) and unserved load. To improve the operational resilience, adaptation measures with modifications in the robustness of the structural strength is proposed and investigated on standard IEEE 57 bus system and IEEE 118 bus system. Sensitivity analysis is performed to understand how changes in the percentage increase of robustness affect the overall system performance. The findings give valuable insights for evaluating the operational resilience of transmission line infrastructure during such extreme weather events.

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