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contributor authorPrativa Sharma
contributor authorZhiQiang Chen
date accessioned2022-01-30T19:11:13Z
date available2022-01-30T19:11:13Z
date issued2020
identifier otherAJRUA6.0001061.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4264813
description abstractThis paper proposes a fully probabilistic and analytical measurement framework for assessing the resilience of linear power-distribution systems affected by hurricane wind. The topology of rural power-distribution systems can be largely characterized as a set of linear subsystems that emanate from one power substation and individually feature zero redundancy. Moreover, rural power-distribution systems are less robust owing to their high vulnerability to material aging, and they demand longer recovery times due to low socioeconomic resources in rural areas. The proposed framework includes a mechanical analysis of a coupled wood pole and feeder line as a system unit, a definition of component restoration and system-level recovery functions, and, finally, a definition of a new resilience measure, referred to as total mean system resilience (TMSR). Numerical experimentation is provided that validates the effectiveness and analytical tractability of the framework. Insight into how physical aging, local resourcefulness, and spatial sparseness interplay and affect the system resilience is given quantitatively in this paper.
publisherASCE
titleProbabilistic Resilience Measurement for Rural Electric Distribution System Affected by Hurricane Events
typeJournal Paper
journal volume6
journal issue2
journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
identifier doi10.1061/AJRUA6.0001061
page04020021
treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2020:;Volume ( 006 ):;issue: 002
contenttypeFulltext


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