Resilient Grid Planning & Development

Transmission System Operators are facing increasing stress on their networks due to climate change, extreme weather events, accelerated electrification, and the rapid integration of renewable energy sources.
Ensuring grid resilience increasingly depends on the ability to anticipate risks, manage uncertainty, and optimize long-term planning through advanced, data-driven approaches.

This challenge aims to identify innovative solutions that improve the efficiency, robustness, and adaptability of grid planning and development, enabling Terna to make informed strategic decisions under uncertain and rapidly evolving conditions.

The objective of this challenge is to identify innovative solutions that:

• Improve grid planning efficiency under uncertainty

• Integrate resilience as a core planning criterion

• Support data-driven and adaptive investment decisions

Solutions should support Terna in anticipating failures, prioritizing investments, and optimizing maintenance strategies, ultimately increasing the grid’s ability to withstand and recover from disruptive events.

We are particularly interested in innovations addressing long-term and mid-term planning challenges, such as:

• Advanced scenario analysis integrating climate risks, extreme weather events, and demand uncertainty

• Cost-benefit and resilience-based planning tools, beyond traditional deterministic approaches

• Digital twins and simulation platforms for network stress testing and resilience assessment

• AI/ML-based tools supporting investment prioritization and grid expansion strategies

• Integration of resilience metrics into planning and regulatory decision-making processes