Publications

Sep, 2026

ORNL Report

Component-Level Analysis of System Degradation, Restoration, and Resilience: Development of a Scalable Grid Interconnection-Point Availability Model

Electric-grid resilience is difficult to quantify because system performance depends on network topology, component reliability, operating configuration, and restoration time. This project produced a scalable component-level framework for estimating resilience at grid interconnection points. The framework converts standard power-system planning models to undirected network…

Aug, 2026

Journal

Assessing Transmission Grid Resilience Through Graph-Theoretic Contingency Bounds

Mar, 2026

Conference Paper

SIMULATION CLONING FOR DIGITAL TWINS: A SCALABLE APPROACH

Digital Twin (DT) methods represent an important technology in which a simulated model of the operations of a physical system uses real-time sensor data to simulate, monitor, and consequently, improve its operations. One of the primary objectives of such a DT is to inform the physical system of measures to be taken in response to one or multiple intervening events that can…

Mar, 2026

Conference Paper

A Novel Framework to Quantify Power Grid Resilience

The quantification of an operating power grid’s resilience is highly significant today, given its criticality as an enabler of other infrastructures, complexity, and the threat it faces due to a wide range of detrimental events, from extreme climate to cyber attacks. Currently, there exist no standardized definitions and metrics for measuring the resilience of an operating…

Jan, 2026

ORNL Report

Uncertainty Quantification Using Real-world Data for NAERM Model Validation

Several co-simulation models are being developed under the North American Energy Resilience Model (NAERM) project initiative. The co-simulations primarily simulate the Bulk Energy Systems (BES) model and other interdependent systems, such as the models of natural gas (NG) pipeline supplying gas to the power generators. The co-simulation results help in understanding the in…

Jul, 2025

Journal

Discrete event cellular automata: A new approach to cellular automata for computational material science

We explore the computational advantages of discrete event simulation for cellular automata models of grain growth. These benefits include a reduction in execution time by up to an order of magnitude and the elimination of numerical errors that stem from overshooting grain capture events and approximating a Poisson process with a Bernoulli process. The fundamental mechanism…

Jun, 2025

Journal

SpecSims: A Scalable Speculative Tree-based Simulation Cloning Framework For Finite Memory Machines

Simulation cloning is a technique in which cloned simulations whose state spaces differ partially from their parent simulation due to intervening events are spawned at runtime and concurrently advanced. It is a powerful method to carry out what-if analysis by speculatively exploring and evaluating the impact of various permutations of intervening cascade of events. Due to…

Oct, 2024

ORNL Report

Neighborhood of the Future

Feb, 2024

Conference Paper

Cascading Transformer Failure Probability Model Under Geomagnetic Disturbances

This paper develops a probabilistic model to assess the cascading failure of transformers in an electric power grid experiencing geomagnetic disturbances caused by a solar storm. We propose a model in which the probability of failure is a function of the intensity of the solar storm, the physical properties of the transformer, the geographical location of the transformer,…

Nov, 2023

Journal

Discrete event cellular automata: A new approach to cellular automata for computational material science

We explore the computational advantages of discrete event simulation for cellular automata models of grain growth. These benefits include a reduction in execution time by up to an order of magnitude and the elimination of numerical errors that stem from overshooting grain capture events and approximating a Poisson process with a Bernoulli process. The fundamental mechanism…