Projects
These projects reflect the laboratory’s work across resilience, reliability, distributed energy resources, real-time simulation, cybersecurity, digital twins, and intelligent energy management.
Current projects
The current portfolio emphasizes experimental platforms, grid modernization, and translation of research into deployable tools.
The project is building a large-scale cyber-physical energy systems testbed for multidisciplinary research, education, and training. The platform supports multi-timeframe simulation, cyber-attack detection and mitigation, resilient communications, and hardware-in-the-loop studies.
This project demonstrates dynamic line rating technologies and digital twins to increase transmission capacity, reduce congestion, strengthen data analytics and cybersecurity, introduce new sensors, and facilitate renewable-energy integration without reconductoring.
This project is developing a smart breaker system with advanced monitoring and control capabilities to improve electrical-system reliability, safety, and operational flexibility.
Completed and related projects
These projects contributed methods, software, testbeds, and datasets that continue to support ongoing laboratory work.
The project developed models, indices, and assessment methods to harden cyber-physical energy systems against failures and attacks. It investigated interactions among power, communication, computation, and control layers and integrated the outcomes into education and workforce development.
The project advanced utility demand-response operations through coordinated behind-the-meter photovoltaic systems and energy storage. It developed distributed control, learning, co-optimization, and financial-settlement methods for voltage regulation, frequency support, phase balancing, and demand response.
This project established a large-scale cyber-physical testbed for real-time simulation, cybersecurity research, resilient communications, education, and professional training. The resulting infrastructure laid important groundwork for later expansion at MSU.
This collaborative effort developed data-driven methods to integrate multi-rate measurements, improve operational awareness, and support resilient decision-making in active distribution systems with limited observability and uncertain operating conditions.
This project quantified the resilience contribution of solar-plus-storage systems for communities and critical infrastructure. It linked resilience valuation to energy-performance planning and supported transferable methods for city- and county-scale applications.