Assessment of the resilience of transmission networks to extreme wind events

Mathaios Panteli; Pierluigi Mancarella; Sean Wilkinson; Richard Dawson; Cassandra Pickering

doi:10.1109/PTC.2015.7232484

Assessment of the resilience of transmission networks to extreme wind events

Mathaios Panteli, Pierluigi Mancarella, Sean Wilkinson, Richard Dawson, Cassandra Pickering

Department of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Extreme weather may have a significant influence on the resilience of transmission systems. However, modelling the impact of weather is very challenging due to its stochastic and unpredicted nature and behaviour. To cope with these challenges, this paper presents a Sequential Monte Carlo based time-series model for evaluating the effect of weather on power system components, with focus on the wind effect on transmission lines and towers, and in turn on the entire transmission power infrastructure. The concept of fragility curves is used, which express the failure probabilities of the components as a continuous function of the wind speed. The mapping of the wind profile on these fragility curves provides the weather-affected operational state of the transmission lines and towers at every simulation time step. The model is illustrated using a simplified 29-bus model of the transmission network of Great Britain (GB). The simulation results highlight and quantify how the GB test network becomes less resilient for extreme wind events, and the effectiveness of mitigation strategies such as network reinforcement or redundancy.

Original language	English
Title of host publication	2015 IEEE Eindhoven PowerTech, PowerTech 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479976935
DOIs	https://doi.org/10.1109/PTC.2015.7232484
Publication status	Published - 31 Aug 2015
Event	IEEE Eindhoven PowerTech, PowerTech 2015 - Eindhoven, Netherlands Duration: 29 Jun 2015 → 2 Jul 2015

Other

Other	IEEE Eindhoven PowerTech, PowerTech 2015
Country/Territory	Netherlands
City	Eindhoven
Period	29/06/15 → 2/07/15

Keywords

Extreme Weather
Fragility Curves
Power Systems
Resilience

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/PTC.2015.7232484

Cite this

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title = "Assessment of the resilience of transmission networks to extreme wind events",

abstract = "Extreme weather may have a significant influence on the resilience of transmission systems. However, modelling the impact of weather is very challenging due to its stochastic and unpredicted nature and behaviour. To cope with these challenges, this paper presents a Sequential Monte Carlo based time-series model for evaluating the effect of weather on power system components, with focus on the wind effect on transmission lines and towers, and in turn on the entire transmission power infrastructure. The concept of fragility curves is used, which express the failure probabilities of the components as a continuous function of the wind speed. The mapping of the wind profile on these fragility curves provides the weather-affected operational state of the transmission lines and towers at every simulation time step. The model is illustrated using a simplified 29-bus model of the transmission network of Great Britain (GB). The simulation results highlight and quantify how the GB test network becomes less resilient for extreme wind events, and the effectiveness of mitigation strategies such as network reinforcement or redundancy.",

keywords = "Extreme Weather, Fragility Curves, Power Systems, Resilience",

author = "Mathaios Panteli and Pierluigi Mancarella and Sean Wilkinson and Richard Dawson and Cassandra Pickering",

year = "2015",

month = aug,

day = "31",

doi = "10.1109/PTC.2015.7232484",

language = "English",

booktitle = "2015 IEEE Eindhoven PowerTech, PowerTech 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "IEEE Eindhoven PowerTech, PowerTech 2015 ; Conference date: 29-06-2015 Through 02-07-2015",

}

Panteli, M, Mancarella, P, Wilkinson, S, Dawson, R & Pickering, C 2015, Assessment of the resilience of transmission networks to extreme wind events. in 2015 IEEE Eindhoven PowerTech, PowerTech 2015., 7232484, Institute of Electrical and Electronics Engineers Inc., IEEE Eindhoven PowerTech, PowerTech 2015, Eindhoven, Netherlands, 29/06/15. https://doi.org/10.1109/PTC.2015.7232484

TY - GEN

T1 - Assessment of the resilience of transmission networks to extreme wind events

AU - Panteli, Mathaios

AU - Mancarella, Pierluigi

AU - Wilkinson, Sean

AU - Dawson, Richard

AU - Pickering, Cassandra

PY - 2015/8/31

Y1 - 2015/8/31

N2 - Extreme weather may have a significant influence on the resilience of transmission systems. However, modelling the impact of weather is very challenging due to its stochastic and unpredicted nature and behaviour. To cope with these challenges, this paper presents a Sequential Monte Carlo based time-series model for evaluating the effect of weather on power system components, with focus on the wind effect on transmission lines and towers, and in turn on the entire transmission power infrastructure. The concept of fragility curves is used, which express the failure probabilities of the components as a continuous function of the wind speed. The mapping of the wind profile on these fragility curves provides the weather-affected operational state of the transmission lines and towers at every simulation time step. The model is illustrated using a simplified 29-bus model of the transmission network of Great Britain (GB). The simulation results highlight and quantify how the GB test network becomes less resilient for extreme wind events, and the effectiveness of mitigation strategies such as network reinforcement or redundancy.

AB - Extreme weather may have a significant influence on the resilience of transmission systems. However, modelling the impact of weather is very challenging due to its stochastic and unpredicted nature and behaviour. To cope with these challenges, this paper presents a Sequential Monte Carlo based time-series model for evaluating the effect of weather on power system components, with focus on the wind effect on transmission lines and towers, and in turn on the entire transmission power infrastructure. The concept of fragility curves is used, which express the failure probabilities of the components as a continuous function of the wind speed. The mapping of the wind profile on these fragility curves provides the weather-affected operational state of the transmission lines and towers at every simulation time step. The model is illustrated using a simplified 29-bus model of the transmission network of Great Britain (GB). The simulation results highlight and quantify how the GB test network becomes less resilient for extreme wind events, and the effectiveness of mitigation strategies such as network reinforcement or redundancy.

KW - Extreme Weather

KW - Fragility Curves

KW - Power Systems

KW - Resilience

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DO - 10.1109/PTC.2015.7232484

M3 - Conference contribution

AN - SCOPUS:84951334822

BT - 2015 IEEE Eindhoven PowerTech, PowerTech 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE Eindhoven PowerTech, PowerTech 2015

Y2 - 29 June 2015 through 2 July 2015

ER -

Assessment of the resilience of transmission networks to extreme wind events

Abstract

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Keywords

UN SDGs

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