A Risk-Driven Probabilistic Approach to Quantify Resilience in Power Distribution Systems

Conference · Mon Jul 04 04:00:00 EDT 2022

DOI:https://doi.org/10.1109/PMAPS53380.2022.9810633· OSTI ID:1887241

Poudyal, Abodh ^[1]; Dubey, Anamika ^[2]; Poudel, Shiva ^[3]

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1. Washington State University
2. WASHINGTON STATE UNIV
3. BATTELLE (PACIFIC NW LAB)

It is of growing concern to ensure resilience in power distribution systems to extreme weather events. However, there are no clear methodologies or metrics available for resilience assessment that allows system planners to assess the impact of appropriate planning measures and new operational procedures for resilience enhancement. In this paper, we propose a resilience metric using parameters that define system attributes and performance. To represent extreme events (tail probability), the conditional value-at-risk of each of the parameters are combined using Choquet Integral to evaluate the overall resilience. The effectiveness of the proposed resilience metric is studied within the simulation-based framework under extreme weather scenarios with the help of a modified IEEE 123-bus system. With the proposed framework, system operators will have additional flexibility to prioritize one investment over the others to enhance the resilience of the grid.

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1887241
• Report Number(s): PNNL-SA-170329
• Country of Publication: United States
• Language: English