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• W3213779905 abstract "Levee failures can adversely affect the performance of electric power networks in levee-protected areas. Projections from climate models suggest likelihood of more severe flooding in some regions if our planet continues to warm. Such changes in statistics of floods can increase the probability of failure of levees, which in turn, may cause disruptions of an electric power network such as generation, transmission, and distribution in a cascading manner. The main objective of this study is to examine the resiliency of electric power networks to flooding in levee-protected areas under a changing climate. For this purpose, a resiliency index is proposed that quantifies the resiliency of electric power networks against flooding in levee-protected areas. Using different Representative Concentration Pathways (RCPs), changes in the hazard level and exposure of levee-protected electric power networks are determined for a study area in the Central Valley, California. The DC power flow method is employed to evaluate the affected electric network, to minimize the number of out-of-service customers, and to obtain a quantitative resiliency index. Modeling an electric power network using the proposed approach allows establishing a relationship between flood levels and the number of affected customers under different scenarios. For the study area, three-dimensional graphs show the percentage of power outage versus the number of nodes in the lower elevations under different levels of flooding. The model offers a valuable tool for assessing the risk imposed by flooding to electric infrastructures under a changing climate. The proposed resiliency index can be employed to assess the impacts of natural hazards and climate extremes on electric power networks in levee-protected areas." @default.
• W3213779905 created "2021-11-22" @default.
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• W3213779905 date "2021-11-04" @default.
• W3213779905 modified "2023-09-23" @default.
• W3213779905 title "A Resiliency Study of Electric Power Network to Flooding in a Levee-Protected Area under Climate Change" @default.
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• W3213779905 doi "https://doi.org/10.1061/9780784483688.044" @default.
• W3213779905 hasPublicationYear "2021" @default.
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