Trends in the history of large blackouts in the United States

Hines, Paul; Apt, Jay; Talukdar, Sarosh N.

doi:10.1109/pes.2008.4596715

Cited by 113 publications

(47 citation statements)

References 12 publications

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“…The fast dynamics represent the time scales of one day around the time of peak demand of a power system. This is the time that the system is closer to its critical points and therefore more prone to cascading failures [1]. At the start of each day the peak load, at each node, is determined.…”

Section: Fast Dynamics Of the Modelmentioning

confidence: 99%

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Effect of Short-Term Risk-Aversive Dispatch on a Complex System Model for Power Systems

Fitzmaurice

Keane

O’Malley

2011

IEEE Trans. Power Syst.

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Section: Fast Dynamics Of the Modelmentioning

confidence: 99%

“…Despite these efforts, load shedding events do occasionally occur. In fact, despite advances in technology and operational procedures, in the last decades, the frequency of blackouts does not appear to be decreasing [1].…”

Section: Introductionmentioning

confidence: 99%

Effect of Short-Term Risk-Aversive Dispatch on a Complex System Model for Power Systems

Fitzmaurice

Keane

O’Malley

2011

IEEE Trans. Power Syst.

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“…This proliferation of grid outages and associated surges is caused by "severe" weather due to high wind, lightning, snow/storm, floods, etc., which is caused by increased variability and extremes in seasonal weather patterns. The "Catastrophic" weather (hurricanes and tornadoes) accounts for only 7% of large blackouts [6], with more than 50% due to severe or extreme weather. The atmospheric conditions most conducive to severe weather are expected to increase [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Systematic Framework for Integration of Weather Data into Prediction Models for the Electric Grid Outage and Asset Management Applications

Kezunovic¹,

Obradović²,

Djokic³

et al. 2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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This paper describes a Weather Impact Model (WIM) capable of serving a variety of predictive applications ranging from real-time operation and dayahead operation planning, to asset and outage management. The proposed model is capable of combining various weather parameters into different weather impact features of interest to a specific application. This work focuses on the development of a universal weather impacts model based on the logistic regression embedded in a Geographic Information System (GIS). It is capable of merging massive data sets from historical outage and weather data, to real-time weather forecast and network monitoring measurements, into a feature known as weather hazard probability. The examples of the outage and asset management applications are used to illustrate the model capabilities.

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“…Data from the North American Electric Reliability Corporation (NERC) show that more than 80% of all outages in the period 2003-2012 were weather-related, and almost 18% of the outages were cold weather-related [4]. The ice storm is one of the typical adverse weather events that severely threaten the operation of transmission lines [5]. Ice Qiuwei Wu is with the Department of Electrical Engineering, Technical University of Denmark, Kgs.…”

Section: Introductionmentioning

confidence: 99%

A Numerical Approach for Hybrid Simulation of Power System Dynamics Considering Extreme Icing Events

Chen

Zhang

et al. 2018

IEEE Trans. Smart Grid

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Abstract-The global climate change leads to more extreme meteorological conditions such as icing weather, which have caused great losses to power systems. Comprehensive simulation tools are required to enhance the capability of power system risk assessment under extreme weather conditions. A hybrid numerical simulation scheme integrating icing weather events with power system dynamics is proposed to extend power system numerical simulation. A technique is developed to efficiently simulate the interaction of slow dynamics of weather events and fast dynamics of power systems. An extended package for PSS/E enabling hybrid simulation of icing event and power system disturbance is developed, based on which a hybrid simulation platform is established. Numerical studies show that the functionality of power system simulation is greatly extended by taking into account the icing weather events.

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Trends in the history of large blackouts in the United States

Cited by 113 publications

References 12 publications

Effect of Short-Term Risk-Aversive Dispatch on a Complex System Model for Power Systems

Effect of Short-Term Risk-Aversive Dispatch on a Complex System Model for Power Systems

Systematic Framework for Integration of Weather Data into Prediction Models for the Electric Grid Outage and Asset Management Applications

A Numerical Approach for Hybrid Simulation of Power System Dynamics Considering Extreme Icing Events

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