A Multi-Stakeholder Actuarial Risk Management Framework for Transmission Systems Against Extreme Weather Events

Increasingly frequent extreme weather events pose significant risks of large-scale blackouts and substantial economic losses to power systems and electricity customers. In recent years, resilience insurance has emerged as an effective risk management tool to address this challenge. However, despite sufficient premium contributions from electricity customers, current insurance schemes may still expose insurance companies to high financial risks due to extreme tail events, thus demotivating them from entering the market. To this end, this paper develops a novel actuarial risk management framework consisting of risk assessment and insurance design to hedge against weather-induced catastrophe risks in transmission systems (TSs). Specifically, in the risk assessment phase, cascading failures and the aging effects of transmission lines, factors that exacerbate the heavy-tailed characteristics of weather-induced catastrophe risks, are comprehensively considered. A multi-stakeholder resilience insurance scheme is further designed, introducing reinsurance policies for the first time to alleviate insurers' financial burden, with the optimal retention derived from a risk-return Nash bargaining game. Numerical experiments on the modified IEEE 30-bus test system verify that the proposed method enables more accurate assessments for weather-induced catastrophe risks in TSs. Additionally, it helps mitigate insurers' insolvency risks while maintaining affordable premiums. Furthermore, the Nash bargaining game proves effective in helping insurers balance risk and return in decision-making. Finally, the proposed risk management framework exhibits excellent scalability when applied to large-scale real-world systems.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Energy Markets Policy and Regulation
Published
2025-09-02
DOI
https://doi.org/10.1109/tempr.2025.3605346
Citations
2
Primary Topic
Risk and Safety Analysis
Type
article
Field-Weighted Citation Impact
2.80
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Multi-Stakeholder Actuarial Risk Management Framework for Transmission Systems Against Extreme Weather Events

Yibo Ding, Zhaohong Bie, Zhengyang Hu, Wenzhuo Shi et al.
2 citations
IEEE Transactions on Energy Markets Policy and Regulation
Risk and Safety Analysis
2.80
article

A Multi-Stakeholder Actuarial Risk Management Framework for Transmission Systems Against Extreme Weather Events

Yibo Ding, Zhaohong Bie, Zhengyang Hu, Wenzhuo Shi, Zhao Xu, Xianzhuo Sun, Chen Chen, Yuhong Zhao
article en
2 citations

Abstract

Increasingly frequent extreme weather events pose significant risks of large-scale blackouts and substantial economic losses to power systems and electricity customers. In recent years, resilience insurance has emerged as an effective risk management tool to address this challenge. However, despite sufficient premium contributions from electricity customers, current insurance schemes may still expose insurance companies to high financial risks due to extreme tail events, thus demotivating them from entering the market. To this end, this paper develops a novel actuarial risk management framework consisting of risk assessment and insurance design to hedge against weather-induced catastrophe risks in transmission systems (TSs). Specifically, in the risk assessment phase, cascading failures and the aging effects of transmission lines, factors that exacerbate the heavy-tailed characteristics of weather-induced catastrophe risks, are comprehensively considered. A multi-stakeholder resilience insurance scheme is further designed, introducing reinsurance policies for the first time to alleviate insurers' financial burden, with the optimal retention derived from a risk-return Nash bargaining game. Numerical experiments on the modified IEEE 30-bus test system verify that the proposed method enables more accurate assessments for weather-induced catastrophe risks in TSs. Additionally, it helps mitigate insurers' insolvency risks while maintaining affordable premiums. Furthermore, the Nash bargaining game proves effective in helping insurers balance risk and return in decision-making. Finally, the proposed risk management framework exhibits excellent scalability when applied to large-scale real-world systems.

IEEE Transactions on Energy Markets Policy and RegulationVol. 4(1)
Hong Kong Polytechnic University (HK), Shandong University (CN), Xi'an Jiaotong University (CN)
Openalex Percentile: Top 7%
Risk and Safety Analysis
2.80
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.