Resilience, reliability, and extreme events
Risk-informed planning and operational strategies for natural hazards, cascading failures, and emerging threats.
E-RESILIENCY Laboratory · Michigan State University
Engineering a more resilient electric grid.
We advance the reliability, security, stability, resilience, and efficiency of modern power and energy systems through modeling, intelligent control, cybersecurity, and real-time experimental validation.
About the laboratory
Research for reliable, secure, and adaptive power grids.
Led by Dr. Mohammed Ben-Idris, the E-RESILIENCY Laboratory investigates the planning, operation, and control of cyber-physical energy systems. Our work spans power-system resilience and reliability, inverter-dominated grids, distributed energy resources, microgrids, cybersecurity, artificial intelligence, and real-time simulation.
- Methods that connect reliability, resilience, and dynamic stability
- Intelligent coordination of DERs, storage, and flexible loads
- Cyber-physical testbeds for validation, education, and workforce training
Research themes
From grid-edge devices to system-wide resilience.
Our research combines physical models, data, real-time measurements, and intelligent decision tools across the full electric-energy system.
DERs, storage, and grid services
Aggregation and coordinated control of distributed resources for voltage, frequency, reliability, and restoration support.
Real-time simulation and cyber-physical testing
Hardware-, software-, and controller-in-the-loop validation for power-system operation, protection, and control.
AI, cybersecurity, and operator awareness
Data-driven models and secure decision support for modern grids, microgrids, and large emerging loads.
Selected projects
Research with measurable grid impact.
Current and recent projects are supported by NSF, the U.S. Department of Energy, and the MSU Foundation.
NSF CAREER
Reliability and Resilience Assurance of Cyber-Physical Energy Systems
Models, metrics, and decision methods for limiting failure and attack propagation across power, communication, computation, and control layers.
NSF MRI
Interactive Multi-functional Real-Time Simulator
A cyber-physical energy systems testbed for multi-timeframe simulation, cybersecurity research, and resilient communications.
U.S. DOE
Dynamic Line Rating and Digital Twin Technologies
Direct and indirect contact DLR technologies to increase transmission capacity and reduce congestion without reconductoring.
Latest updates
News from the laboratory.
Selected funding, publications, student achievements, and professional activities.
2026
DOE project advances dynamic line rating and grid digital twins
The project will demonstrate direct and indirect contact DLR technologies to improve transmission utilization, reduce congestion, and support renewable integration.
2024–2027
NSF MRI supports a new MSU real-time simulation testbed
A multi-disciplinary platform for modeling, control, cybersecurity, and training.
2026
New journal and technical-report publications
Recent work addresses resilience assessment, distribution-system reliability, and cloud-based frequency control.
Interested in resilient and intelligent energy systems?
Prospective graduate students, postdoctoral researchers, undergraduate researchers, and collaborators are invited to learn about the laboratory.