Power and Energy

Electrical power systems research focuses on enhancing grid resilience, integrating renewable energy sources, and developing advanced control strategies. This work spans from microgrids to continental power grids, addressing challenges in sustainability, security and optimization.

Power System Resilience and Control Laboratory

Director: Junjian Qi

Lab Website

Dedicated to enhancing the resilience and control performance of electric power systems, from small microgrids to continental bulk power grids. Research focuses include:

  • Developing physics-based and statistical models for cascading failure simulation and mitigation.
  • Creating distributed control algorithms for AC/DC microgrids.
  • Designing attack-resilient algorithms for power system applications.
  • Advancing parameter identifiability analysis for synchronous generators and active distribution grids.

The PowerJacks Lab

Director: Tim Hansen

Lab Website

Conducts research at the intersection of electrical power systems, machine learning, optimization, high-performance computing and energy economics. Key research areas include:

  • Autonomous control and learning-enabled systems for power grid applications.
  • Advanced optimization techniques for improved grid operations.
  • TinyML and federated learning for distributed energy applications.
  • Machine learning for spatiotemporal weather forecasting to strengthen grid stability.
  • Climate-adaptive solutions for power infrastructure resilience.
Contact us
McComish Department of Electrical Engineering and Computer Science
Physical Address
1250 8th St.
Brookings, SD 57007
Mailing Address
Daktronics Engineering Hall 214, Box 2222
Brookings, SD 57007
Hours
Mon - Fri: 8:00 a.m.-5:00 p.m.
Closed during state holidays.
Follow Us