Summary
Utilities face a significant challenge in prioritizing capital investments to enhance the physical resilience of their substations amidst aging assets and the current 'perfect storm' of dynamic grid changes, unprecedented demand increases, and other external pressures. This paper introduces a conceptual framework called the Substation Physical Resilience Matrix and
Read more Read lessIndex Score (SPRMI). This proposed AI-driven framework is designed to provide a quantifiable, consistent methodology for prioritizing resiliency investments by creating a holistic resilience index. The SPRMI framework is envisioned to combine high-accuracy, asset-specific data, extracted from a substation's Digital Twin, with broader contextual data, including grid performance metrics, socioeconomic considerations, customer experience, institutional knowledge, and regulatory factors to generate a unified score that quantifies both predictive asset health and the substation's sustainability impact.
The resulting ranked index would allow utilities to move beyond subjective, reactive decision-making towards a proactive investment strategy that is optimized for holistic sustainability and return on investment (ROI), ensuring capital is allocated to protect both critical assets and vulnerable communities. This AI-driven approach is intended to promote decision consistency and capture invaluable institutional knowledge, mitigating the risks of human bias and workforce retirement.
Additional informations
| Publication type | Session Materials |
|---|---|
| Reference | B3_10684_2026 |
| Publication year | |
| Publisher | CIGRE |
| Country | United States of America |
| Study committees | |
| File size | 834 KB |
| Price for non member | 30 € |
| Price for member | 30 € |
Authors
LI Charlie - Burns & McDonnell, United States of America
Keywords
