SMART GRID RESILIENCY AND ANALYTICS LAB
SG-REAL specializes in the intersection of power grid technology and cybersecurity, focusing on safeguarding critical energy infrastructure.




Research Interests
The research goal of SG-REAL is developing ‘Power System Operation and Control’ algorithms in the context of the evolving smart grid.
- Cybersecurity
- Power Systems
- Smart Grid Resiliency
- Machine Learning & AI
- Data Analytics
Goals & Motivation
Availability of the smart grid data such as synchrophasor data, smart meter data, distribution automation data, cyber logs provide opportunities for better control and optimization algorithms for power system operation and control precisely towards resiliency. The approach developed by my research group includes physics-driven machine learning for power grid operation and control. My existing research projects with external and internal collaborators relate to the following.

Power System Operation and Control
Data-Driven Computational Algorithms to enable security, resiliency, sustainability and voltage stability of the power grid (Transmission Systems with Microgrid and Active Distribution Systems)

Real-Time, Multi-Layer Cyber–Power Testbed for Resiliency Analysis
Real-Time Modeling and Analysis of Cyber-Power Systems for quality-aware synchrophasor applications and resiliency analysis

Industrial Grade Tools
Industry-grade tool development for electric grid resiliency, smart grid data analytics

Research Goals
Develop cybersecure and resilient power system operation and control algorithms using smart grid data, while ensuring real-time validation and continuous enhancement of these algorithms for effective system performance and security.

Teaching Goals
Smart grid education targeted towards middle school, high school, undergraduate and graduate students using hardware-in-the-loop demonstration of smart grid devices and operations.

Motivation
The electric power system is evolving towards the Smart Grid (SG) for improved reliability, security, resilience, and economic operation. SG-REAL aims to develop and validate power system operation and control algorithms.
Research Grants and Projects
Active Grants:
- Solar Testbed – Role: Technical PI – Source: DOE/WVHTF
- CREATE: Cyber Range Sandbox for Data-driven Security Solutions – Role: Co-PI – Source: WV/Department of Education
- Resilient Communities via Risk-driven Infrastructure Planning and Automated Restoration (Recuperat) – Role: WVU PI – Source: US DoE/WSU
- Developing a Multi-State Smart Grid Deployment Consortium – Role: WVU PI – Source: Appalachian Regional Commission/TN Tech
- Battery Management System Modeling – Role: Lead PI – Source: Newport News Shipbuilding (NNS)
- Travel: 2024 International Conference on Smart Grid Synchronized Measurements & Analytics (SGSMA24) – Role: Lead PI – Source: NSF
- STTR Phase I: Datapoint Measurements of Second Life Batteries for State of Health and State of Charge – Role: WVU PI – Source: Parthian/NSF
- Deployment of a Community-Oriented Interoperable Control Framework for Aggregating and Integrating DERs and Other Grid-Edge Devices (ICF) – Role: WVU PI – Source: DOE/ComED
- Artificial Intelligence Cybersecurity Readiness and Future Training (AI-CRAFT) – Role: WVU PI – Source: DARPA/FIU
Completed Grants:
- CPS: DFG Joint: Medium: Collaborative Research: Data-Driven Secure Holonic Control and Optimization for the Networked CPS (aDaptioN) (Transferred) + US-India Supplement – Role: Lead PI – Source: NSF/DFG
- UI-ASSIST: US-India Collaborative for Smart Distribution System with Storage (Transferred) – Role: WVU PI – Source: DOE/DST
- Augmenting and Advancing Cognitive Performance of Control Room Operators for Power Grid Resiliency (Transferred) – Role: Lead PI – Source: NSF
- Efficient UltRa Endpoint IoT-enabled Coordinated Architecture (EUREICA) (Transferred) – Role: WVU PI – Source: DOE
- SolarSTARTS: Solar-Assisted State-Aware and ResilienT Infrastructure System (WVU) – Role: WVU PI – Source: DOE/University of Utah
- Prototype Development of Malicious Device Detection System Using Side-Channel Signals and Machine Learning Algorithms – Role: Co-PI – Source: DoD/Marshall U.
- Enabling Coal Transition – Role: Multi-Lab Call – Source: DOE/PNNL
Completed Grants:
- Grid Ready Energy Analytics Training with Data – Role: Co-PI – Source: DOE/EPRI
- Federated Predictive Analysis for Power Grid Using Multi-Agent Models – Role: WSU PI – Source: PNNL DGRP
- Data-driven Control of DERs & Hybrid PV Plants for Enhancing Voltage Stability Over Multiple Timescales – Role: WSU PI – Source: NSF I/UCRC PSERC
- Tools for Keeping Your Power ON During Extreme Events – Role: WSU PI – Source: WSU CGF
- AGGREGATE: Data-Driven Modeling Preserving Controllable DER for Outage Management and Resiliency – Role: Lead PI – Source: DOE
- AGI Grid Sandbox – Role: WSU PI – Source: Pacific Northwest National Lab
- Resilient Alaskan Distribution System Improvements Using Automation, Network Analysis, Control, and Energy Storage (RADIANCE) – Role: WSU PI – Source: INL/DOE
- Development of Prototypical Communications System Models for Cyber-Physical Resiliency Analysis – Role: WSU PI – Source: PNNL DGRP
- Cyber Resilient Energy Delivery Consortium (CREDC) – Role: Co-PI – Source: DOE
- Smart Reconfiguration of Idaho Falls Power Distribution Network for Enhanced Quality of Service – Role: PI – Source: Idaho National Lab/DOE
- NSF Workshop on Real-Time Data Analytics for Resilient Electric Grid – Role: Lead PI – Source: NSF
- CPS: Synergy: Collaborative Research: Diagnostics and Prognostics Using Temporal Causal Models for Cyber-Physical Systems- A Case of Smart Electric Grid – Role: PI – Source: NSF
- Kronos++: Dynamic Knowledge Inference for Real-Time Smart Grid Resiliency Analysis – Role: Lead PI – Source: Siemens
- CPS: TTP Option: Synergy: Collaborative Research: The Science of Activity-Predictive Cyber-Physical Systems (APCPS) – Role: Co-PI – Source: NSF
- Kronos: Knowledge Base of Real-time Power Event on Heterogeneous Data Streams – Role: Lead PI – Source: Siemens
- Collaborative Research: The Adoption of an Emerging Technology for Improving the Electrical Delivery System – Role: Co-PI – Source: NSF
- Develop a Technique to Derive Static ZIP Load Model from Synchrophasor Data – Role: Lead PI – Source: EPRI
- Data Analytics for the Smart Grid (DASG) Workshop – Role: Lead PI – Source: Siemens
- Advanced Cyber-Physical Analysis for Smart Grid Distributed ICT and IED Resources at RTE France – Role: Co-PI – Source: NSF IUCRC PSERC
- Analyzing Cognitive Flexibility of Control Room Operator with Advanced Decision Support Tools in Extreme Contingencies – Role: Lead PI – Source: Energy Systems Innovation Center
- Cyber-Physical Security Analytics for Smart Grid – Role: Lead PI – Source: Siemens
- Global RT-SuperLab – Role: PI – Source: INL
- Deployment and Evaluation of Energy Storage Integrated into the Pullman Smart Grid Community – Role: Co-PI – Source: Washington State Department of Commerce/AVISTA/PNNL
- Analyzing the Impact of NERC CIP on Power System Operations and Developing Techniques/Business Plan for Optimal Cybersecurity Requirements – Role: Co-PI – Source: Energy Systems Innovation Center
- Collaborative Research: Integrated Policy and Engineering Design for Complex Systems with Applications to Smart Distribution System – Role: PI – Source: NSF
- Smart City Testbed at WSU – Role: Co-PI – Source: Murdock Foundation
- A Collaborative Educational Program on Synchrophasor Applications for the Smart Electric Grid – Role: Lead PI – Source: DOE
- Collaborative Research: Smart Power Distribution System Curriculum – Multi-Institution Demonstration and Deployment – Role: PI – Source: NSF
- Development of a Smart Phone App for Energy Sustainability – Role: PI – Source: Energy Systems Innovation Center
- Real-Time Modeling and Simulation Module for the Smart Electric Grid – Role: PI – Source: WSU VCEA Equipment Program
- Substation Automation and Trip Coil Health Monitoring – Role: PI – Source: Schweitzer Engineering Lab (SEL)
- Adaptive and Intelligent PMU for Smarter Applications – Role: PI – Source: Power System Engineering Research Center
- Student Support for the 2014 North American Power Symposium (NAPS), held at Washington State University, Pullman, WA – Role: Co-PI – Source: NSF
- Developing a Battery-Extender Auxiliary Power Unit (BE-APU) for Next-Generation Commercial Airplanes (with Boeing), Phase 3 – Role: Co-PI – Source: Joint Center for Aerospace Technology Innovation
- Trustworthy Cyber-Infrastructure for the Power Grid – Role: Senior Researcher – Source: DOE
- Implementing Smart Meter Applications in Washington State: Institutional Analysis of an Emerging Technological Field – Role: Co-PI – Source: WSU Energy System Innovation Center Seed Grant
- Engineering and Sociological Foundations for Smart Distribution Systems – Role: Co-PI – Source: CEA Strategic Investments for Research Excellence Grant
- AVISTA Smart Grid Demonstration Grant – Role: PI – Source: AVISTA/DOE
- Course Development “Critical Infrastructure Security: The Emerging Smart Grid” – Role: PI – Source: DOE through NSF IUCRC PSERC
- Feasibility of a Smart Distribution System for Microsoft Campus – Role: Co-PI – Source: Puget Sound Energy (PSE) and Microsoft
- AVISTA Smart Grid Investment Grant – Role: PI – Source: AVISTA/DOE
- Developing a Battery-Extender Auxiliary Power Unit (BE-APU) for Next-Generation Commercial Airplanes (with Boeing), Phase 2 – Role: Co-PI – Source: Joint Center for Aerospace Technology Innovation
- Testing and Validation of Phasor Measurement-Based Devices and Algorithms – Role: PI – Source: NSF I/UCRC Power System Engineering Research Center
- Interconnection Level Transmission Planning Analysis – Role: Senior Researcher – Source: DOE/WECC
- Training Program in Clean Energy Smart Grid Engineering – Role: Senior Personnel – Source: DOE
- Social Factors Influencing Implementation and Usage of Smart Grid Technologies – Role: Co-PI – Source: WSU IGIS Grant Application
- A Nationwide Consortium of Universities to Revitalize Electric Power Engineering Education by State-of-the-Art Laboratories – Role: PI – Source: DOE
- Developing a Battery-Extender Auxiliary Power Unit (BE-APU) for Next-Generation Commercial Airplanes (with Boeing), Phase I – Role: Co-PI – Source: Joint Center for Aerospace Technology Innovation
- Smart Energy Environments: Design for Human Interaction with Smart Grids – Role: Co-PI – Source: WSU ESIC Seed Grant
- Real-Time Operation and Control of Microgrid – Role: PI – Source: WSU Research Office New Faculty Seed Grant
- Computational Needs for the Next Generation Electric Grid – Role: PI – Source: Department of Energy (DOE)
Completed Grants:
- Student Travel Support for the 2009 North American Power Symposium – Role: PI, Source: National Science Foundation
- Remote, nondestructive testing of power system – Role: PI, Source: Office of Naval Research, through Drexel University
- Travel funding for attending American Society of Engineering Education, Pittsburgh, PA – Role: PI, Source: MSU Office of Research
- Advanced Naval Power Systems through Electric ship system research and development – Role: Co-PI, Source: Office of Naval Research (Prime) through Florida State University
- Study of interconnection benefits, strategies and impact of distributed generation on the electric power grid – Role: Co-PI, Source: Department of Energy (DOE)
- Adaptive reconfiguration for shipboard power and support systems – Role: Co-PI, Source: Office of Naval Research/ Florida State University
- The Western Interconnection Synchrophasor Project – Role: Senior Researcher, Source: DOE SGIG through Western Electricity Coordinating Council/ PGE
- Semantic-driven knowledge discovery system for wide-area monitoring of electric power grid – Role: Senior Researcher, Source: Department of Homeland Security (DoHS)
- High-performance real-time system for hardware in the loop testing and analysis of advanced power and control systems – Role: Senior Researcher, Source: Department of Defense (DoD), DURIP
