Portfolio of Projects

The Mission Campaign is organized around three technical thrusts answering fundamental questions that are relevant to improving resilience among U.S. energy systems and other critical infrastructures. An integrated portfolio of projects across these three thrusts will result in a cohesive set of capabilities that can be harvested by all missions across Sandia and the Nation.

Thrust 1: Science of Vulnerabilities

Through fire risk modeling and grid simulation, we will help utilities plan for and mitigate a disaster from fire and identify grid response strategies and resilient designs that reduce vulnerability leveraging past work on cascading failures.

Better risk characterization and prioritization of ICS threats. ADROC will be a useful platform to test and evaluate cyber threat mitigation technologies proposed under RES.

HARMONIE-SPS will improve grid resilience by extending protection capabilities to defend against a wide range of cyber-physical disturbances.

Hallucinating Canaries creates cyber-redundant
systems that detect cyber-attacks on field devices,
at the point of the attack, and capture artifacts to
understand attack mechanisms and impacts.

This project will create a methodology for modeling
components or structures in an electrical system.
These models will be used for relating system
level events to insults arriving at specific pieces of
critical equipment.

Thrust 2: Materials, Device, & Cyber Innovation

Novel material solution to achieve nanosecond responsive filters for EMP protection.

Discover new soft ferrite materials and find the conditions for synthesis through AI.

Novel approach to increase distribution system resiliency by improving protection system accuracy and speed; advanced modeling and evaluation in KAFB DC micro grid.

Sandia’s “lowmodulation-
index 3-phase solid-state transformer
(LMI3-SST)” technology is intended to address current
obstacles to wide-spread adoption and provide the
first commercially viable SST circuit topology.

Thrust 3: System-Level Threat-Informed Computational Science

Using physics-informed/constrained machine learning techniques, develop scalable methods that provide operators with situational awareness and operate-through capabilities to protect the grid against physical damage and interrupted service caused by cyber threats.

Develop enhanced optimization techniques to incorporate intentional threats, and leverage successes in network diffusion modeling (NDM) to capture grid behaviors at higher levels of abstraction.

Develop novel stochastic resilience optimization with hybrid dynamic constraints.

Develop the capabilities to identify electric grid critical nodes and their vulnerability levels to physical attack and EMP using advanced interdiction models, verified against dynamic cascading failure models, and to develop a multi-stage topology optimization model, informed by node criticality to improve resilience.

Provides a new capability to examine infrastructure vulnerabilities at scale.

SHAZAM is a technique for controlling power system
line and load relays to enable power systems
with geographically dispersed power electronicsbased
sources to be self-healing following major
disruptions, without the need for high-speed
networked communications.

Contact us: resilience@sandia.gov