A composite metric for evaluating system resilience with non-idealistic performance curves

Area of Science:

• Engineering
• System Analysis
• Resilience Engineering

Background:

• Quantitative resilience assessment is crucial for engineering systems facing sudden shocks.
• Existing metrics often rely on idealized system performance curves (e.g., bell-shaped, triangular).
• These traditional metrics struggle with non-idealized or complex system responses to disruptions.

Purpose of the Study:

• To introduce a novel composite metric for system resilience assessment.
• To develop a metric that accommodates diverse system performance curve shapes.
• To integrate a user-defined critical threshold into resilience evaluation.

Main Methods:

• Developed a composite resilience metric integrating multiple performance curve elements.
• Incorporated a user-defined critical threshold into the metric's formulation.
• Validated the metric through a survey of energy system analysis researchers using illustrative curves.

Main Results:

• The proposed composite metric aligns with expert judgment and expectations.
• The metric demonstrates versatility, particularly with non-idealized system performance curves.
• Benchmarking shows the metric's advantages over contemporary approaches for complex scenarios.

Conclusions:

• The new composite metric provides a robust and versatile tool for quantitative resilience assessment.
• Its modular design allows for application, enhancement, and extension across various engineering fields.
• The metric is especially valuable when idealized system response curves are absent, improving shock resilience analysis.