Influence of extreme weather and climate change on the resilience of power systems: impacts and possible mitigation strategies
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Among models for physical energy systems subject to disruptions, statistical and simulation methods can be distinguished.
“Among models for physical energy systems subject to disruptions statistical and simulation methods can be distinguished [16,73].”
From Energy system resilience – A review (2021) · cites this paper as [73]
Section 3.1 (Modelling techniques; page unavailable) distinguishes analytical techniques from Monte Carlo simulations for assessing power-system reliability under weather-related disruptions. It supports the distinction between non-simulation and simulation approaches, but calls the former “analytical,” not “statistical,” and does not establish that these are equivalent categories. (LLM, conf=0.83)
Experimental — accuracy not yet measuredIn electricity transmission and distribution lines, a higher temperature reduces power transfer capacity, efficiency, and earthing efficiency.
“In electricity transmission and distribution lines, a higher temperature reduces the power transfer capacity and the efficiency as well as the earthing efficiency [73,140].”
From Energy system resilience – A review (2021) · cites this paper as [73]
Section 2 says high temperatures limit the transfer capability of transmission lines and increase energy losses, supporting reduced transfer capacity and efficiency. It says higher temperature affects substation earthing efficiency, but does not say that efficiency decreases; it also describes substation earthing, not earthing in transmission or distribution lines. No page number is available in our copy. (LLM, conf=0.86)
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Self-citationEnergy system resilience – A review
Jasiūnas, J., Lund, P. D., & Mikkola, J. (2021) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2021.111476 · Cited by 412 · see citing works
“In electricity transmission and distribution lines, a higher temperature reduces the power transfer capacity and the efficiency as well as the earthing efficiency [73,140].”
BackgroundToward a consensus on the definition and taxonomy of power system resilience
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- Authors
- Panteli, M., & Mancarella, P.
- Affiliations
- University of Manchester (GB)
- Corresponding author
- Panteli, Mathaios
- Venue
- Electric Power Systems Research
- Publisher
- Elsevier BV
- Published
- 2015-10
- Volume
- 127
- Pages
- 259-270
- ISSN
- 0378-7796 (ISSN-L)
- OpenAlex
- W775021449
- Cited by
- 932
- References
- 74
- Citations by year
- 2026: 129 · 2025: 149 · 2024: 107 · 2023: 105 · 2022: 98 · 2021: 96 · 2020: 74 · 2019: 69 · 2018: 44 · 2017: 31 · 2016: 24 · 2015: 5
- FWCI
- 57.34
- Type
- journal article
- Language
- en
- Open access
- Locations
- Electric Power Systems Research (publishedVersion)
- Research Explorer (The University of Manchester) (submittedVersion)
- Funders
- Engineering and Physical Sciences Research Council (EP/I035781/1)
- Topics
- Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Resilience and Vulnerability Analysis
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Power System Reliability and Maintenance
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Power System Optimization and Stability
- Keywords
- extreme weather events, climate change, grid resilience, blackouts, critical infrastructure, power system reliability, resilience modeling, mitigation measures
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