Sandia National Laboratories leverages expertise and capabilities across the laboratory to investigate the integration, operation and control of wind power into energy systems to increase system reliability. As wind power deployment increases, new research challenges and opportunities continue to arise in a range of topics, including:
- Wind plant controls to improve grid reliability and resilience
- Hybrid power system design and operation
- Distribution-level power systems including microgrids
- Physical and cybersecurity risk mitigation.
Projects
Wind generation continues to dominate the interconnection queues and the need for generic, standard and validated publicly available variable generation technologies models. Transmission planners are required to study these technologies’ impact on the grid. Sandia continues its efforts to fully develop, validate and disseminate wind-turbine generator models for use in power system planning and analysis, helping to reduce the barrier to reach the nation’s energy goals.
Read more about Grid System Planning for Wind: Wind Generator Modeling.
The Microgrids, Infrastructure, and Advanced Controls Launchpad project is a four-year research effort funded by the U.S. Department of Energy’s Wind Energy Technologies Office, led by the National Renewable Energy Laboratory with partners at Pacific Northwest National Laboratory, Idaho National Laboratory and Sandia. The project aims to increase deployment of wind turbines in wind-hybrid distributed energy systems to provide flexibility, security and resilience to distribution systems and microgrids.
Read more about MIRACL.
Work with Us
We partner with large and small businesses, universities, and government agencies. With multiple agreement types to select from, partners can access world-class science, engineering, experts, and infrastructure.
Contact
Geoff Klise, Wind Energy Technologies
gklise@sandia.gov
Matt Reno, Transmission Grid Integration
mjreno@sandia.gov
Rachid Darbali-Zamora, Distributed Grid Integration
rdarbal@sandia.gov