Methods, Metrics and Tools for Power System Resilience Analysis and Enhancement

Dear Colleagues,

The concept of resilience is playing an increasingly more important role in modern power systems, having an influence on recent regulations in the electricity sector in many countries. Severe weather events and cyberattacks affecting power systems are an increasing concern for operators and institutions, due to climate change and growing interdependences between power and ICT infrastructures. Although resilience still lacks an established definition, it is generally agreed that the major characteristics of a resilient system are the ability to limit the extent, severity, and duration of its degradation and to recover fast.

A major goal of system operators is power system resilience enhancement: in fact, they are urged by regulations to provide countermeasures to effectively face power system disturbances triggered by natural and cyber threats. These countermeasures may be deployed over different time frames (from grid expansion planning to operational planning, up to real time operation).

For this purpose, researchers worldwide have been working on methodologies to assess and enhance resilience based on concepts of probability and risk, with the suitable modeling of system threats, component vulnerability, and countermeaures. Multidisciplinary approaches are needed, which require experts from different fields (power system engineers, meteorologists, climatologists, cyber experts, statisticians, data analysts, etc.) to work together to develop holistic, probabilistic approaches.

The Special Issue “Methods, Metrics and Tools for Power System Resilience Analysis and Enhancement” is intended for a wide and interdisciplinary audience and covers topics such as:

• Probabilistic risk-based approaches for power system resilience assessment and enhancement to support operators in managing power systems over different timeframes (from planning to real-time operation);
• Methods to support operators’ decision making in order to improve power system resilience;
• Contingency and risk forecasting based on weather prediction systems to support operators’ situational awareness;
• Big data analytics and experimental activities for the characterization and the validation of the probabilistic models related to component vulnerability and threats;
• Probabilistic models of climate evolution in the next decades;
• Probabilistic modeling of cyberattack scenarios;
• Effective visualization of resilience analysis results, also exploiting geographical information system (GIS)-based tools.

Dr. Andrea Pitto
Guest Editor

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• probabilistic risk-based approaches for power system resilience assessment and enhancement
• methods, tools to support operators’ decision making for resilience enhancement
• geographical information system (GIS)
• weather forecasting system application
• climate change modeling
• hazard and vulnerability analysis
• big data analytics to model component vulnerability and threats
• probabilistic modeling of cyberattack scenarios