scholarly journals A Meta-Level Framework for Evaluating Resilience in Net-Zero Carbon Power Systems with Extreme Weather Events in the United States

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4243
Author(s):  
Kathleen Araújo ◽  
David Shropshire
Keyword(s):  
Power Systems ◽  
Power System ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Net Zero ◽  
Weather Events ◽  
Meta Level ◽  
Zero Carbon ◽  
System Resilience ◽  
Power System Resilience

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.

scholarly journals Probabilistic Resilience Analysis of the Icelandic Power System under Extreme Weather

2020 ◽  
Vol 10 (15) ◽  
pp. 5089
Author(s):  
Efthymios Karangelos ◽  
Samuel Perkin ◽  
Louis Wehenkel
Keyword(s):  
Power System ◽  
Extreme Weather ◽  
Assessment Framework ◽  
Component Failure ◽  
Dependent Component ◽  
System Operator ◽  
System Resilience ◽  
Service Disruption ◽  
Power System Resilience ◽  
Do So

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.

scholarly journals Power System Resilience to Extreme Weather: Fragility Modeling, Probabilistic Impact Assessment, and Adaptation Measures

2017 ◽  
Vol 32 (5) ◽  
pp. 3747-3757 ◽  
Author(s):  
Mathaios Panteli ◽  
Cassandra Pickering ◽  
Sean Wilkinson ◽  
Richard Dawson ◽  
Pierluigi Mancarella
Keyword(s):  
Power System ◽  
Impact Assessment ◽  
Extreme Weather ◽  
Adaptation Measures ◽  
System Resilience ◽  
Power System Resilience

The Influence of External Climate Environment on Safe Operation of Power System

2014 ◽  
Vol 521 ◽  
pp. 423-428
Author(s):  
Ling Ling Pan ◽  
Feng Li ◽  
Sheng Chun Yang ◽  
Shu Hai Feng ◽  
Yong Wang
Keyword(s):  
Climate Change ◽  
Power System ◽  
Electric Power ◽  
Global Climate Change ◽  
Global Climate ◽  
Electric Power Industry ◽  
Power Industry ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Weather Events

Frequency and severity of some extreme weather events are increasing, and weather can impact the power system and its components in a number of ways. This paper identifies key technical issues facing the electric power industry, related to global climate change. The technical challenges arise from: 1) impacts on supply and demand balance; 2) impacts on system operating strategies, and power generation scheduling; 3) impacts on power grid structure, and power infrastructure response to extreme weather events; and 4) impacts on operation parameters of power system. The objective of this paper is to facilitate continued discussion of power systemclimate change interactions. To this end, this paper identifies key issues relating to the interactions between the electric power industry and global climate change. These issues will not be resolved quickly, and it requires sustained attention if they are to be resolved successfully.

scholarly journals Quantification of the Benefits for Power System of Resilience Boosting Measures

2020 ◽  
Vol 10 (16) ◽  
pp. 5402
Author(s):  
Emanuele Ciapessoni ◽  
Diego Cirio ◽  
Andrea Pitto ◽  
Marino Sforna
Keyword(s):  
Power Systems ◽  
Power System ◽  
Climate Changes ◽  
System Resilience ◽  
Set Up ◽  
Resilience Indicators ◽  
Power System Resilience ◽  
Resilience Assessment

Severe natural events leading to wide and intense impacts on power systems are becoming more and more frequent due to climate changes. Operators are urged to set up plans to assess the possible consequences of such events, in view of counteracting them. To this aim, the application of the resilience concept can be beneficial. The paper describes a methodology for power system resilience assessment and enhancement, aimed at quantifying both system resilience indicators evaluated for severe threats, and the benefits to resilience brought by operational and grid hardening measures. The capabilities of the methodology are demonstrated on real study cases.

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