Two-stage Stochastic Generalized Disjunctive Programming (GDP) Model for Proactive Planning and Reactive Operations of Resilient Power Systems under Disruptions

Power systems are vulnerable to extreme weatherPower systems should be resilient to prevent power outages caused by extreme weather. The frequency of extreme weather that have caused enormous economic damage has been increasing [1] . The number of large-scale power outages caused by extreme weather such as hurricanes, storms, and snows has increased by 78% during 2011-2021, compared to 2000-2010 [2] .

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Published
2024-10-27
DOI
https://doi.org/10.2172/2478216
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
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article

Two-stage Stochastic Generalized Disjunctive Programming (GDP) Model for Proactive Planning and Reactive Operations of Resilient Power Systems under Disruptions

Ignacio E. Grossmann, Seolhee Cho
Infrastructure Resilience and Vulnerability Analysis
article

Two-stage Stochastic Generalized Disjunctive Programming (GDP) Model for Proactive Planning and Reactive Operations of Resilient Power Systems under Disruptions

Ignacio E. Grossmann, Seolhee Cho
article en

Abstract

Power systems are vulnerable to extreme weatherPower systems should be resilient to prevent power outages caused by extreme weather. The frequency of extreme weather that have caused enormous economic damage has been increasing [1] . The number of large-scale power outages caused by extreme weather such as hurricanes, storms, and snows has increased by 78% during 2011-2021, compared to 2000-2010 [2] .

Carnegie Mellon University (US)
U.S. Department of Energy, Office of Fossil Energy
Decent work and economic growth
Openalex Percentile: Top 76%
Infrastructure Resilience and Vulnerability Analysis
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