共 44 条
Resilience assessment and enhancement evaluation of power distribution systems subjected to ice storms
被引:61
作者:
Hou, Guangyang
[1
]
Muraleetharan, Kanthasamy K.
[1
]
Panchalogaranjan, Vinushika
[2
]
Moses, Paul
[2
]
Javid, Amir
[3
]
Al-Dakheeli, Hussein
[3
]
Bulut, Rifat
[3
]
Campos, Richard
[1
]
Harvey, P. Scott
[1
]
Miller, Gerald
[1
]
Boldes, Kirby
[1
]
Narayanan, Maha
[1
]
机构:
[1] Univ Oklahoma, Sch Civil Engn & Environm Sci, Norman, OK 73019 USA
[2] Univ Oklahoma, Sch Elect & Comp Engn, Norman, OK 73019 USA
[3] Oklahoma State Univ, Sch Civil & Environm Engn, Stillwater, OK 74078 USA
基金:
美国国家科学基金会;
关键词:
Power distribution systems;
Resilience assessment;
Enhancement;
Ice storms;
Fragility modeling;
Vegetation management;
Tree -induced risk;
AGE-DEPENDENT FRAGILITY;
CLIMATE-CHANGE;
EXTREME WEATHER;
RELIABILITY;
ADAPTATION;
STRATEGIES;
IMPACTS;
DEVICES;
MOBILE;
MODELS;
D O I:
10.1016/j.ress.2022.108964
中图分类号:
T [工业技术];
学科分类号:
08 ;
摘要:
Overhead power distribution systems are very susceptible to ice storms. Each year power outages due to ice storms result in extensive economical loss and restoration costs all around the world. Climate change and aging further highlight the need for resilient power distribution systems against ice storms. This paper proposes a probabilistic framework for assessing and evaluating the enhancements of the ice storm resilience of power distribution systems, with a focus on fragility modeling of power distribution components (i.e., power poles and wires). The framework is able to assess the impact of ice storms on the resilience of power distribution systems and evaluate the cost-effectiveness of resilience enhancement strategies such as upgrading poles and vegetation management. Specifically, the limitations of tree-induced risk assessment in previous studies are overcome by developing fragility models of tree-induced component failures and using an empirical tree damage fragility function. The fragility of distribution components subjected to ice storms is thoroughly investigated by considering four different failure modes and the effect of wind attack angle. The proposed framework is demonstrated with a power distribution network in Oklahoma.
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