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

被引:0
|
作者
Guangyang Hou
Kanthasamy K. Muraleetharan
机构
[1] University of Oklahoma,School of Civil Engineering and Environmental Science
来源
International Journal of Disaster Risk Science | 2023年 / 14卷
关键词
Falling trees; Fragility; Oklahoma; Power distribution system; Resilience modeling; Vegetation management;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:194 / 208
页数:14
相关论文
共 6 条
  • [1] Modeling the Resilience of Power Distribution Systems Subjected to Extreme Winds Considering Tree Failures: An Integrated Framework
    Hou, Guangyang
    Muraleetharan, Kanthasamy K.
    INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE, 2023, 14 (02) : 194 - 208
  • [2] Integrating physics-based fragility for hierarchical spectral clustering for resilience assessment of power distribution systems under extreme winds
    Zhang, Jintao
    Zhang, Wei
    Bagtzoglou, Amvrossios C.
    WIND AND STRUCTURES, 2024, 39 (01) : 1 - 14
  • [3] Resilience Assessment of Overhead Power Distribution Systems under Strong Winds for Hardening Prioritization
    Yuan, Hao
    Zhang, Wei
    Zhu, Jin
    Bagtzoglou, Amvrossios C.
    ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING, 2018, 4 (04):
  • [4] Resilience assessment and enhancement evaluation of power distribution systems subjected to ice storms
    Hou, Guangyang
    Muraleetharan, Kanthasamy K.
    Panchalogaranjan, Vinushika
    Moses, Paul
    Javid, Amir
    Al-Dakheeli, Hussein
    Bulut, Rifat
    Campos, Richard
    Harvey, P. Scott
    Miller, Gerald
    Boldes, Kirby
    Narayanan, Maha
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2023, 230
  • [5] A framework to investigate the effectiveness of interconnection of power distribution systems subjected to hurricanes
    Salman, Abdullahi M.
    Li, Yue
    STRUCTURE AND INFRASTRUCTURE ENGINEERING, 2018, 14 (02) : 203 - 217
  • [6] Integrated planning of electric vehicles routing and charging stations location considering transportation networks and power distribution systems
    Arias, Andres
    Sanchez, Juan D.
    Granada, Mauricio
    INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING COMPUTATIONS, 2018, 9 (04) : 535 - 550