Sandia’s grid integration and advanced inverter research involves modeling, analysis, system- and component-level performance validation, power electronics technology development, codes and standards, and reliability. This work draws from Sandia’s expertise in related disciplines, including microsystems, cybersecurity, energy storage, materials science, advanced controls, and high performance computing and optimization.
This project will analyze expected availability and response time metrics for distributed solar, develop cyber security architectures, and evaluate promising approaches with hardware in-the-loop experiments.
QSTS is needed to simulate and understand interactions of PV variability and the benefits of smart grid controls. This project will accelerate QSTS simulation capabilities through new and innovative methods for advanced time-series analysis.
This project provides utilities, grid operators, and third parties with a greater capacity to perform voltage/frequency regulation by aggregating distributed energy resources into secure, reliable virtual power plants using stochastic co-optimization.
The NJ TRANSITGRID is a groundbreaking project for several reasons. It is the first critical civilian application of a design methodology originally developed for military installations. The project will help identify and address gaps that challenge the widespread deployment of microgrids, including regulatory implementation. When successfully completed, the NJ TRANSIT project will be a model to guide the application of resilient microgrids to other critical infrastructure.
The threats to public transportation and other public services due to both natural and manmade disasters are ever-present, and the NJ TRANSITGRID represents a real, achievable solution to preparing for these high-consequence events.
This project will identify gaps in interconnection and interoperability standards and develop, refine, and validate new standards for electrical generation, storage, and loads to ensure grid reliably, safety, and security.
Funded by the DOE Sunshot program, this project will help utility companies better visualize, manage, and protect power systems as they include increasing numbers of distributed energy resources such as wind and solar by creating open-source advanced distribution management system (ADMS) algorithms.