Comparing Different Models for Investigating Cascading Failures in Power Systems
Chao Zhai, Hehong Zhang, Gaoxi Xiao, Tso-Chien Pan

TL;DR
This study compares three models of cascading failures in power systems using optimal control, highlighting the importance of physical and electrical properties in accurately analyzing blackout risks.
Contribution
It introduces a comparative analysis of different models for cascading failures, emphasizing the significance of physical properties in modeling power system blackouts.
Findings
Physical properties significantly influence failure evolution.
Optimal control identifies critical disturbances.
Model comparison informs better blackout prevention strategies.
Abstract
This paper centers on the comparison of three different models that describe cascading failures of power systems. Specifically, these models are different in characterizing the physical properties of power networks and computing the branch power flow. Optimal control approach is applied on these models to identify the critical disturbances that result in the worst-case cascading failures of power networks. Then we compare these models by analyzing the critical disturbances and cascading processes. Significantly, comparison results on IEEE 9 bus system demonstrate that physical and electrical properties of power networks play a crucial role in the evolution of cascading failures, and it is necessary to take into account these properties appropriately while applying the model in the analysis of cascading blackout.
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Taxonomy
TopicsComplex Network Analysis Techniques · Infrastructure Resilience and Vulnerability Analysis · Opinion Dynamics and Social Influence
