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Modeling the overhead line vulnerability to combined wind and snow loads for resilience assessment studies

Related tags

#Climate Change #Electrical System #Electricity Network #Infrastructure #Resilience #Security

Publications - Paper

Modeling the overhead line vulnerability to combined wind and snow loads for resilience assessment studies

The article presents an analytical model for assessing the vulnerability of overhead lines to the combined effects of wind and wet snow, ensuring a good trade-off between accuracy and applicability.

Extreme weather events are one of the main challenges for Transmission System Operators (TSOs) due to their increasing frequency and disruptive effects on system infrastructure and load supply. Assessing the vulnerability of components to natural threats is essential for an accurate evaluation of the power system’s resilience. However, this task is highly challenging due to the interactions between different threats. Models need to be comprehensive enough to account for this complexity, yet practical enough to be applied to large power systems. A significant example involves snow and wind, which exert combined actions both directly on the overhead line (OHL) infrastructure and indirectly on the surrounding environment, such as trees along the line’s path. Simulations conducted on a line segment from an area of the Italian transmission network demonstrate the model’s ability to account for the combined effects of snow and wind on both the OHL infrastructure and the environment interacting with the power line.

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Rif.RSE​

21005016

Destination​

IEEE PowerTech 2021 14th IEEE Power and Energy Society PowerTech Conference, Online, Madrid, June 28 - July 2, 2021

Publication Date

02 July 2022

Authors​

E. Ciapessoni, D. Cirio, G. Pirovano, A. Pitto (RSE S.p.A.), F. Marzullo, A. Lazzarini, F. Falorni, F. Scavo (Terna S.p.A.)

Publication Type

Paper

Projects

Components and materials for safety and resilience (Mat4Res)

Related tags

#Climate Change #Electrical System #Electricity Network #Infrastructure #Resilience #Security

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