Digital Twin–Enabled Grid Resilience: Predictive Failure Analysis and Proactive Control for Climate-Driven Power System
DOI:
https://doi.org/10.7091710.70917/ijcisim-2026-1940Keywords:
Digital Twin, Power Grid Resilience, Climate Change, Predictive Failure, Analysis, Proactive Control, IEEE 30-Bus System, Renewable Energy Integration, Thermal Stress, Mechanical Stress, Moisture Stress, Extreme Weather Simulation, Grid ReliabilityAbstract
This study develops a Digital Twin-enabled framework to enhance power grid resilience against climate-driven disruptions. Using the IEEE 30-bus system and NOAA climate data (2000–2025), the framework applies predictive failure analysis and proactive control strategies to mitigate risks from thermal, wind, and moisture stress. Results show reduced failures, outage probability, and improved grid stability under extreme weather. *Corresponding Author: Siva Prakash Sunkara, Tata Consultancy Services, Illinois, USA Tel:+1 7085153155 -Sivaprakashsunkara@ieee.org INDEX TERMS: Digital Twin, Power Grid Resilience, Climate Change, Predictive Failure Analysis, Proactive Control, IEEE 30-Bus System, Renewable Energy Integration, Thermal Stress, Mechanical Stress, Moisture Stress, Extreme Weather Simulation, Grid Reliability.