Energy Grid

DarkNet Cyber Resilience

DarkNet Cyber Resilience investigates the impacts of cyber stress and its thresholds of impact on alternative timing signals for the US national energy grid.
Mar 22, 2022
DarkNet Cyber Resilience
Exascale Computing for the National Energy Grid

Exascale Computing for the Stochastic Grid Dynamics of the US national energy transmission network is a part of the Exascale Computing Project to tap the world’s largest supercomputer to solve the nation’s energy grid problems.
Jan 1, 2022
Exascale Computing for the National Energy Grid
NAERM

North American Energy Resilience Model provides the next generation planning infrastructure for the US national energy grid using a cloud-based real-time, interoperable, and federated modeling, simulation, and visualization technology.
Jan 1, 2022
NAERM
DES Grid

Discrete Event Modeling of the Electric Grid is a new non-equilibrium, transient analysis model and solver that is indispensable for new advancements in grids with high renewable penetration.
Jan 1, 2022
DES Grid
Digital Twin Framework

Our novel Digital Twin Framework (DTF) is designed to improve resilience of critical infrastructure systems by continuously comparing the infrastructure state with automatically generated, AI/ML-based, real-time digital-twin simulation of the system.
Jan 1, 2022
Digital Twin Framework
Visualizing the National Energy Grid

EGIVAC, System for Electric Grid Interactive Visualization, Animation, and Control, is one of the ground-breaking, feature-rich, large-scale visualizations of the US national energy grid.
Jan 1, 2022
Visualizing the National Energy Grid
Design of a Novel Information System for Semi-Automated Management of Cybersecurity in Industrial Control Systems
This paper presents new methodology and algorithms to automatically identify cybersecurity-related claims expressed in natural language form in ICS device documents. The verification pipeline includes automated vendor identification, device document curation, and feature claim identification via sentiment analysis. Our novel matching engine represents the first automated information system available in the cybersecurity domain to directly aid ICS compliance reporting.
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Design of a Novel Information System for Semi-Automated Management of Cybersecurity in Industrial Control Systems
An Accuracy-Maximization Approach for Claims Classifiers in Document Content Analytics for Cybersecurity
Our classifier of feature claims for cybersecurity literature analytics is introduced in our new model called ClaimsBERT. ClaimsBERT outperforms all other evaluated framework aiming to improve the cybersecurity of industrial control systems (ICS).
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An Accuracy-Maximization Approach for Claims Classifiers in Document Content Analytics for Cybersecurity
DarkNet Cyber Resilience
Two key cyber elements affecting the grid’s timing capability are Cyber Resilience and Cyber Trust. The timing services of DarkNet are systematically subjected to a range of cyber phenomena that stress four key performance factors, namely: Accuracy, Manageability, Telemetry, and Visibility. This analysis is designed to provide insights into four important categories of undesirable cyber phenomena: Loss of View (LoV), Loss of Control (LoC), Manipulation of View (MoV), and Manipulation of Control (MoC).
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DarkNet Cyber Resilience
CyBERT: Cybersecurity Claim Classification by Fine-Tuning the BERT Language Model
We introduce CyBERT, a cybersecurity feature claims classifier based on bidirectional encoder representations from transformers and a key component in our semi-automated cybersecurity vetting for industrial control systems (ICS)…The results showed that CyBERT outperforms these models on the validation accuracy and the F1 score, validating CyBERT’s robustness and accuracy as a cybersecurity feature claims classifier.
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CyBERT: Cybersecurity Claim Classification by Fine-Tuning the BERT Language Model
A Case Study in Simulation Methods for Power Electronic Circuits
A simplified circuit is used as a case study to uncover and highlight key considerations in the use of traditional numerical simulation methods and compare them with those obtained from alternative methods that are discrete event-based from the outset. Results show the regimes where the traditional numerical methods and the alternative discrete event methods are applicable, and the need for discrete event approaches that precisely and efficiently resolve switching dynamics produced by power electronics systems that are important in emerging grid scenarios, such as large scale renewable energy.
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A Case Study in Simulation Methods for Power Electronic Circuits
Trust-but-Verify in Cyber-Physical Systems
Cyber-physical systems span a wide spectrum, from long-lived legacy systems to more modern installations. Trust is an issue that arises across the spectrum, albeit with different variants of goals and constraints. On the one end of the spectrum, legacy systems are characterized by function-based designs in which trust is an implicitly in-built concept…
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Trust-but-Verify in Cyber-Physical Systems
Smart Semi-Supervised Accumulation of Large Repositories for Industrial Control Systems Device Information
A solution is needed for vetting the vendor-supplied feature claims and their adherence to cybersecurity requirements and standards. We are presently engaged in an effort to develop such a system. This paper demonstrates one vital aspect of this effort in proposing an end-to-end framework to accumulate a large repository of ICS device information for this vetting system, curate the dataset, and conduct extensive processing. This framework is designed to use web scraping, data analytics and Natural Language Processing (NLP) techniques to identify vendor websites, automate the collection of website-accessible documents and automatically derive metadata from them for identification of product documents relevant to the repository…
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Smart Semi-Supervised Accumulation of Large Repositories for Industrial Control Systems Device Information
A Novel Vetting Approach to Cybersecurity Verification in Energy Grid Systems
The cybersecurity auditing for Operation Technology is critical and has been largely missing from the cybersecurity research, especially in the energy sector. In this paper, we present a novel “cybersecurity vetting” approach (CYVET) to the problem of verification and validation of cybersecurity in complex cyber-physical installations underlying modern energy grid systems.
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A Novel Vetting Approach to Cybersecurity Verification in Energy Grid Systems
RL-HEMS: Reinforcement Learning-Based Home Energy Management System for HVAC Energy Optimization (OR-20-C051)
https://ashraem.confex.com/ashraem/w20/meetingapp.cgi/Paper/26352
A Digital Twin Framework for Testing, Evaluation and Deployment of Resilient Cyber-physical Systems
We describe an approach to detecting and preventing cyber attacks by continuously comparing the infrastructure state with a real-time digital-twin simulation of it. Specifically, we describe and demonstrate a Digital Twin Framework (DTF) designed specifically to detect and eventually prevent such attacks. The canal lock system’s digital twin uses a recurrent neural network trained from the experimental data collected via the DTF.
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A Digital Twin Framework for Testing, Evaluation and Deployment of Resilient Cyber-physical Systems
RL-HEMS: Reinforcement Learning Based Home Energy Management System for HVAC Energy Optimization.
The objective of this work is to create the optimal schedule for HVAC operation to reduce the cost while satisfying the home-owner and equipment’s constraints using a model-free Reinforcement Learning (RL)-based optimization. This optimization is addressed with the development of initial learning testbed and implementation of RL techniques on a real home. Our preliminary results showed a 17% reduction in the total cost and a 15% reduction in the power utilization using our RL-based HVAC model–RL-HEMS.
Design of A High-Fidelity Testing Framework for Secure Electric Grid Control
A solution methodology and implementation components are presented that can uncover unwanted, unin-t…
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Design of A High-Fidelity Testing Framework for Secure Electric Grid Control
Towards High Performance Discrete Event Simulations of Smart Electric Grids
Future electric grid technology is envisioned on the notion of a smart grid in which responsive end-…
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Towards High Performance Discrete Event Simulations of Smart Electric Grids