Supplementary material for the paper Enhancing Grid Resilience: The role of Weighted Centrality Measures in the Allocation of Energy Storage Systems

This dataset contains the supplementary material for the paper "Enhancing Grid Resilience: The role of Weighted Centrality Measures in the Allocation of Energy Storage Systems" by Paim, F. J. et al. It provides the Python-based computational framework and data required to verify the results and reproduce the analysis. The repository includes: 1. Centrality measures and Vulnerability Index - PJM 5-Bus System: A Python notebook (Simulations_PJM5.py) containing the implementation of centrality measures, simulation of generator and line failures and calculation of Vulnerability Index for the PJM 5-bus system. 2. Centrality measures and Vulnerability Index - IEEE 118 Bus System: A Python notebook (Simulations_IEEE118.py) containing the implementation of centrality measures, simulation of generator and line failures and calculation of Vulnerability Index for the IEEE 118-bus test case. 3. Data and Libraries: The simulations utilize the pandapower library and network data based on MATPOWER formats (embedded or loaded within the scripts). 4. Visualizations: The code for generating analysis plots is integrated within the provided Python notebooks.