Modeling the Resilience of Power Distribution Systems Subjected to Extreme Winds Considering Tree Failures: An Integrated Framework

Guangyang Hou; Kanthasamy K. Muraleetharan

doi:10.1007/s13753-023-00478-x

Volume 14 Issue 2

Apr. 2023

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Article Navigation > International Journal of Disaster Risk Science > 2023 > 14(2): 194-208

Guangyang Hou, Kanthasamy K. Muraleetharan. Modeling the Resilience of Power Distribution Systems Subjected to Extreme Winds Considering Tree Failures: An Integrated Framework[J]. International Journal of Disaster Risk Science, 2023, 14(2): 194-208. doi: 10.1007/s13753-023-00478-x

Citation:

Guangyang Hou, Kanthasamy K. Muraleetharan. Modeling the Resilience of Power Distribution Systems Subjected to Extreme Winds Considering Tree Failures: An Integrated Framework[J]. International Journal of Disaster Risk Science, 2023, 14(2): 194-208. doi: 10.1007/s13753-023-00478-x

Citation:

Guangyang Hou, Kanthasamy K. Muraleetharan. Modeling the Resilience of Power Distribution Systems Subjected to Extreme Winds Considering Tree Failures: An Integrated Framework[J]. International Journal of Disaster Risk Science, 2023, 14(2): 194-208. doi: 10.1007/s13753-023-00478-x

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Modeling the Resilience of Power Distribution Systems Subjected to Extreme Winds Considering Tree Failures: An Integrated Framework

doi: 10.1007/s13753-023-00478-x

School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK, 73019, USA

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This material is based on work supported by the National Science Foundation under Grant No. OIA-1946093. The authors would like to thank Nick Shumaker, Manager of System Engineering at the Oklahoma Electric Cooperative for his helpful cooperation in providing utility data for this analysis. Any opinions, findings, and conclusions or recommendations expressed in this article are those of the authors and do not necessarily reflect the views of the National Science Foundation.

Accepted Date: 2023-03-10

Available Online: 2023-04-28

Publish Date: 2023-03-29

Abstract

Abstract

Overhead electrical power distribution systems (PDS) are very susceptible to extreme wind hazards. Power outages can cause catastrophic consequences, including economic losses, loss of critical services, and disruption to daily life. Therefore, it is very important to model the resilience of PDS against extreme winds to support disaster planning. While several frameworks currently exist to assess the resilience of PDS subjected to extreme winds, these frameworks do not systematically consider the tree-failure risk. In other words, there is no integrated framework that can simultaneously consider tree failures, PDS component failures induced by falling trees, resilience assessment, and evaluation of resilience enhancement with vegetation management. Therefore, this study proposed an integrated simulation framework to model the resilience of PDS against extreme winds, which includes tree fragility modeling, PDS fragility modeling, PDS component failure estimation, system performance evaluation, system restoration modeling, and resilience enhancement evaluation. The framework is demonstrated with a power distribution network in Oklahoma. The results show that the estimated system resilience will reduce if tree failures are considered. Crown thinning can effectively enhance the system's resilience, but the effectiveness is affected by both wind speed and direction.
- Falling trees,
- Fragility,
- Oklahoma,
- Power distribution system,
- Resilience modeling,
- Vegetation management

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References(43)

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