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Open AccessJournal ArticleDOI

Predicting Hurricane Power Outages to Support Storm Response Planning

TLDR
The development of a hurricane power outage prediction model applicable along the full U.S. coastline is described, the use of the model is demonstrated for Hurricane Sandy, and what the impacts of a number of historic storms, including Typhoon Haiyan, would be on current U.s. energy infrastructure are estimated.
Abstract
Hurricanes regularly cause widespread and prolonged power outages along the U.S. coastline. These power outages have significant impacts on other infrastructure dependent on electric power and on the population living in the impacted area. Efficient and effective emergency response planning within power utilities, other utilities dependent on electric power, private companies, and local, state, and federal government agencies benefit from accurate estimates of the extent and spatial distribution of power outages in advance of an approaching hurricane. A number of models have been developed for predicting power outages in advance of a hurricane, but these have been specific to a given utility service area, limiting their use to support wider emergency response planning. In this paper, we describe the development of a hurricane power outage prediction model applicable along the full U.S. coastline using only publicly available data, we demonstrate the use of the model for Hurricane Sandy, and we use the model to estimate what the impacts of a number of historic storms, including Typhoon Haiyan, would be on current U.S. energy infrastructure.

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Citations
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Journal ArticleDOI

Networked Microgrids for Enhancing the Power System Resilience

TL;DR: It is concluded that networked microgrids in particular provide a universal solution for improving the resilience against extreme events in Smart Cities.
Journal ArticleDOI

Resilience Enhancement With Sequentially Proactive Operation Strategies

TL;DR: In this article, a proactive operation strategy to enhance system resilience during an unfolding extreme event is proposed, where the uncertain sequential transition of system states driven by the evolution of extreme events is modeled as a Markov process.
Journal ArticleDOI

Proactive Recovery of Electric Power Assets for Resiliency Enhancement

TL;DR: The theoretical and practical implications of the developed models will push the research frontier of proactive response and recovery schemes in electric power grids, while its flexibility will support application to a variety of infrastructures, in response to a wide range of extreme weather events and natural disasters.
Journal ArticleDOI

A multi-hazard approach to assess severe weather-induced major power outage risks in the U.S.

TL;DR: A multi-hazard approach to characterize the key predictors of severe weather-induced sustained power outages is proposed, and a two-stage hybrid risk estimation model is developed, leveraging algorithmic data-mining techniques.
Journal ArticleDOI

Proactive Resilience of Power Systems Against Natural Disasters: A Literature Review

TL;DR: A theoretical framework is given for proactive resilience of power systems with a spotlight on the extreme weather events and their effect and various strategies for preparing, hardening and enhancing proactive resilience with a focus on microgrids for improving power system resilience are reviewed.
References
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Journal ArticleDOI

Random Forests

TL;DR: Internal estimates monitor error, strength, and correlation and these are used to show the response to increasing the number of features used in the forest, and are also applicable to regression.
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction

TL;DR: In this paper, the authors describe the important ideas in these areas in a common conceptual framework, and the emphasis is on concepts rather than mathematics, with a liberal use of color graphics.
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A simple hydrologically based model of land surface water and energy fluxes for general circulation models

TL;DR: In this paper, a generalization of the single soil layer variable infiltration capacity (VIC) land surface hydrological model previously implemented in the Geophysical Fluid Dynamics Laboratory (GFDL) general circulation model (GCM) is described.
Journal ArticleDOI

The Elements of Statistical Learning: Data Mining, Inference, and Prediction

TL;DR: This section will review those books whose content and level reflect the general editorial poltcy of Technometrics.
Journal ArticleDOI

Surface soil moisture parameterization of the VIC-2L model: Evaluation and modification

TL;DR: In this article, a modified version of VIC-2L, which has a new feature that allows diffusion of moisture between soil layers, and a 0.1 m thin layer on top of the previous upper layer, is described.
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