{'fraction_non_alphanumeric': 0.02197802197802198, 'fraction_numerical': 0.0016906170752324597, 'mean_word_length': 5.7272727272727275, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
On a Modeling Framework for the Analysis of Interdependencies in Electric Power Systems

Nowadays, economy, security and quality of life heavily depend on the resiliency of a number of critical infrastructures, including the electric power system (EPS), through which vital services are provided. In existing EPS two cooperating infrastructures are involved: the electric infrastructure (EI) for the electricity generation and transportation to final users, and its information-technology based control system (ITCS) devoted to controlling and regulating the EI physical parameters and triggering reconfigurations in emergency situations. This paper proposes a modeling framework to capture EI and ITCS aspects, focusing on their interdependencies that contributed to the occurrence of several cascading failures in the past 40 years. A quite detailed analysis of the EI and ITCS structure and behavior is performed; in particular, the ITCS and EI behaviors are described by discrete and hybrid-state processes, respectively. To substantiate the approach, the implementation of a few basic modeling mechanisms inside an existing multiformalism/ multi-solution tool is also discussed.