TY - JOUR
T1 - A Multi-Stakeholder Actuarial Risk Management Framework for Transmission Systems Against Extreme Weather Events
AU - Zhao, Yuhong
AU - Ding, Yibo
AU - Sun, Xianzhuo
AU - Shi, Wenzhuo
AU - Hu, Zhengyang
AU - Xu, Zhao
AU - Chen, Chen
AU - Bie, Zhaohong
N1 - Publisher Copyright:
© IEEE. 2023 IEEE.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Risk management
KW - actuarial framework
KW - extreme weather event
KW - reinsurance design
KW - resilience assessment
UR - https://www.scopus.com/pages/publications/105022067685
U2 - 10.1109/TEMPR.2025.3605346
DO - 10.1109/TEMPR.2025.3605346
M3 - 文章
AN - SCOPUS:105022067685
SN - 2771-9626
JO - IEEE Transactions on Energy Markets, Policy and Regulation
JF - IEEE Transactions on Energy Markets, Policy and Regulation
ER -