A sequentially preventive model enhancing power system resilience against extreme-weather-triggered failures

2022 ◽  
Vol 156 ◽  
pp. 111945
Author(s):  
Hanchen Liu ◽  
Chong Wang ◽  
Ping Ju ◽  
Hongyu Li
2020 ◽  
Vol 10 (15) ◽  
pp. 5089
Author(s):  
Efthymios Karangelos ◽  
Samuel Perkin ◽  
Louis Wehenkel

This paper presents a probabilistic methodology for assessing power system resilience, motivated by the extreme weather storm experienced in Iceland in December 2019. The methodology is built on the basis of models and data available to the Icelandic transmission system operator in anticipation of the said storm. We study resilience in terms of the ability of the system to contain further service disruption, while potentially operating with reduced component availability due to the storm impact. To do so, we develop a Monte Carlo assessment framework combining weather-dependent component failure probabilities, enumerated through historical failure rate data and forecasted wind-speed data, with a bi-level attacker-defender optimization model for vulnerability identification. Our findings suggest that the ability of the Icelandic power system to contain service disruption moderately reduces with the storm-induced potential reduction of its available components. In other words, and as also validated in practice, the system is indeed resilient.


2017 ◽  
Vol 32 (5) ◽  
pp. 3747-3757 ◽  
Author(s):  
Mathaios Panteli ◽  
Cassandra Pickering ◽  
Sean Wilkinson ◽  
Richard Dawson ◽  
Pierluigi Mancarella

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4243
Author(s):  
Kathleen Araújo ◽  
David Shropshire

Important changes are underway in the U.S. power industry in the way that electricity is sourced, transported, and utilized. Disruption from extreme weather events and cybersecurity events is bringing new scrutiny to power-system resilience. Recognizing the complex social and technical aspects that are involved, this article provides a meta-level framework for coherently evaluating and making decisions about power-system resilience. It does so by examining net-zero carbon strategies with quantitative, qualitative, and integrative dimensions across discrete location-specific systems and timescales. The generalizable framework is designed with a flexibility and logic that allows for refinement to accompany stakeholder review processes and highly localized decision-making. To highlight the framework’s applicability across multiple timescales, processes, and types of knowledge, power system outages are reviewed for extreme weather events, including 2021 and 2011 winter storms that impacted Texas, the 2017 Hurricane Maria that affected Puerto Rico, and a heatwave/wildfire event in California in August 2020. By design, the meta-level framework enables utility decision-makers, regulators, insurers, and communities to analyze and track levels of resilience safeguards for a given system. Future directions to advance an integrated science of resilience in net-zero power systems and the use of this framework are also discussed.


Author(s):  
Laiz Souto ◽  
Joshua Yip ◽  
Wen-Ying Wu ◽  
Brent Austgen ◽  
Erhan Kutanoglu ◽  
...  

2020 ◽  
pp. 1-1
Author(s):  
Tao Ding ◽  
Ming Qu ◽  
Zekai Wang ◽  
Bo Chen ◽  
Chen Chen ◽  
...  

2020 ◽  
Vol 18 (4) ◽  
pp. 20-30 ◽  
Author(s):  
Hong Chen ◽  
Frederick S. Bresler ◽  
Michael E. Bryson ◽  
Kenneth Seiler ◽  
Jonathon Monken

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