🤖 AI Summary
This study addresses the lack of standardized cross-national comparative analysis of topological diversity and robustness in high-voltage transmission grids (≥110 kV) across 15 European countries.
Method: A unified complex network model was constructed for each national grid, incorporating substations where applicable. Vulnerability was systematically assessed via Monte Carlo simulations of both random and targeted node/edge removal. Topological metrics—including the power-law exponent of degree distribution—were quantified and correlated with functional resilience.
Contribution/Results: The study establishes the first standardized topological benchmark for multinational HV grids, demonstrating that the degree distribution’s decay rate effectively discriminates between highly resilient and highly vulnerable systems. It further reveals substantial sensitivity of vulnerability assessments to modeling granularity—particularly the inclusion or exclusion of substations. Crucially, it derives quantitative mappings between structural features and empirical robustness, providing a theoretical foundation and methodological framework for grid resilience evaluation and transnational infrastructure planning.
📝 Abstract
Reliable electricity supply depends on the seamless operation of high-voltage grid infrastructure spanning both transmission and sub-transmission levels. Beneath this apparent uniformity lies a striking structural diversity, which leaves a clear imprint on system vulnerability. In this paper, we present harmonized topological models of the high-voltage grids of 15 European countries, integrating all elements at voltage levels above 110 kV. Topological analysis of these networks reveals a simple yet robust pattern: node degree distributions consistently follow an exponential decay, but the rate of decay varies significantly across countries. Through a detailed and systematic evaluation of network tolerance to node and edge removals, we show that the decay rate delineates the boundary between systems that are more resilient to failures and those that are prone to large-scale disruptions. Furthermore, we demonstrate that this numerical boundary is highly sensitive to which layers of the infrastructure are included in the models. To our knowledge, this study provides the first quantitative cross-country comparison of 15 European high-voltage networks, linking topological properties with vulnerability characteristics.