Critical Nodes Detection and Dynamic Vulnerability Analysis in Power Grids

Due to the continual growth of electrical grids to meet increasing demand, integrating electronic devices and new generation units has become a common practice within electrical power systems. These modifications in network topology can introduce new vulnerable nodes. Consequently, there is a growing need for robust strategies to accurately quantify and assess the vulnerability of these evolving power systems. Many existing methodologies primarily leverage topological information to enhance the understanding of system vulnerabilities. In response to these challenges, this research introduces a hybrid methodology for detecting and validating vulnerable nodes. This novel approach combines a dedicated vulnerability metric to pinpoint nodes of critical significance with applying transient stability analysis to validate these nodes systematically. Through this innovative approach, this work contributes to the comprehensive understanding of vulnerability within electrical power systems and offers practical insights into enhancing system resilience.

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Publication Details

Published
2024-11-06
DOI
https://doi.org/10.1109/scems63294.2024.10756294
Citations
3
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
0.98
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article

Critical Nodes Detection and Dynamic Vulnerability Analysis in Power Grids

Alejandro Zamora‐Mendez, Mario R. Arrieta Paternina, Alexander Sanchez-Ocampo, Juan M. Ramírez
3 citations
Smart Grid Security and Resilience
0.98
article

Critical Nodes Detection and Dynamic Vulnerability Analysis in Power Grids

Alejandro Zamora‐Mendez, Mario R. Arrieta Paternina, Alexander Sanchez-Ocampo, Juan M. Ramírez
article en
3 citations

Abstract

Due to the continual growth of electrical grids to meet increasing demand, integrating electronic devices and new generation units has become a common practice within electrical power systems. These modifications in network topology can introduce new vulnerable nodes. Consequently, there is a growing need for robust strategies to accurately quantify and assess the vulnerability of these evolving power systems. Many existing methodologies primarily leverage topological information to enhance the understanding of system vulnerabilities. In response to these challenges, this research introduces a hybrid methodology for detecting and validating vulnerable nodes. This novel approach combines a dedicated vulnerability metric to pinpoint nodes of critical significance with applying transient stability analysis to validate these nodes systematically. Through this innovative approach, this work contributes to the comprehensive understanding of vulnerability within electrical power systems and offers practical insights into enhancing system resilience.

Universidad Michoacana de San Nicolás de Hidalgo (MX), Centre of Advanced Studies (RU), Universidad Nacional Autónoma de México (MX)
Climate action
Openalex Percentile: Top 23%
Smart Grid Security and Resilience
0.98
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