TY - GEN
T1 - Resilience Assessment of Power Networks Under Earthquake-Induced Cascading Failures
AU - Villamarín-Jácome, Alex
AU - Moreno, Rodrigo
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
PY - 2026
Y1 - 2026
N2 - Electricity networks are increasingly exposed to seismic events, with substations–critical connection points–being among the most vulnerable components. Their failure can cause extensive disruptions and trigger cascading outages across the system. Thus, resilience assessments must incorporate models that not only evaluate substation outage risk but also capture the propagation of failures triggered by seismic disturbances. In this context, this paper presents a methodological framework for assessing the seismic resilience of power transmission systems, integrating detailed component vulnerability modeling and cascading outage simulation. The proposed framework consists of four key stages: seismic hazard characterization, bay-level substation fragility analysis, system response simulation under cascading failures, and system restoration modeling. To demonstrate its applicability, the framework is applied to evaluate the impact of earthquakes on two test systems: the IEEE 24-bus test network and the Chilean transmission network. A comparative analysis is conducted between conventional models without cascading failures and the proposed cascading failure model. The results show that (a) detailed substation modeling significantly affects the extent and propagation of outages, (b) resilience metrics such as unserved energy and recovery time are underestimated when cascading effects are ignored, and (c) the proposed approach is computationally scalable and well-suited for resilience assessment of power systems exposed to natural hazards.
AB - Electricity networks are increasingly exposed to seismic events, with substations–critical connection points–being among the most vulnerable components. Their failure can cause extensive disruptions and trigger cascading outages across the system. Thus, resilience assessments must incorporate models that not only evaluate substation outage risk but also capture the propagation of failures triggered by seismic disturbances. In this context, this paper presents a methodological framework for assessing the seismic resilience of power transmission systems, integrating detailed component vulnerability modeling and cascading outage simulation. The proposed framework consists of four key stages: seismic hazard characterization, bay-level substation fragility analysis, system response simulation under cascading failures, and system restoration modeling. To demonstrate its applicability, the framework is applied to evaluate the impact of earthquakes on two test systems: the IEEE 24-bus test network and the Chilean transmission network. A comparative analysis is conducted between conventional models without cascading failures and the proposed cascading failure model. The results show that (a) detailed substation modeling significantly affects the extent and propagation of outages, (b) resilience metrics such as unserved energy and recovery time are underestimated when cascading effects are ignored, and (c) the proposed approach is computationally scalable and well-suited for resilience assessment of power systems exposed to natural hazards.
KW - Cascading failures
KW - Power system resilience
KW - Seismic risk assessment
KW - Substation bay modeling
KW - Transmission networks
UR - https://www.scopus.com/pages/publications/105038545985
U2 - 10.1007/978-3-032-19852-5_31
DO - 10.1007/978-3-032-19852-5_31
M3 - Conference contribution
AN - SCOPUS:105038545985
SN - 9783032198518
T3 - Lecture Notes in Networks and Systems
SP - 447
EP - 461
BT - Emerging Research in Intelligent Systems - Proceedings of the ESPE CIT 2025 Volume 1
A2 - Olmedo Cifuentes, Gonzalo Fernando
A2 - Lara Padilla, Hernán Vinicio
A2 - Arcos Avilés, Diego Gustavo
PB - Springer Science and Business Media Deutschland GmbH
T2 - 20th International Multidisciplinary Congress on Science and Technology, CIT 2025
Y2 - 11 August 2025 through 15 August 2025
ER -