PIPages
Labs

Fabio Andrade

University of Puerto Rico-Mayaguez, PR·Engineering

Hurricanes, blizzards, floods and sudden temperature swings knock out electric power. Physical and cyber attacks add to the risk.

Fields

Engineering

Computer Science

Social Science

Topics

power grid resilience

smart grid

microgrids

Grants
1 known grant, through Aug 2027

What they work on

  1. Co-design microgrid solutions with community members in Maine, Alaska, South Dakota and Puerto Rico, and apply lessons from each region to the others to reduce the harm severe weather does to power supply.
  2. Develop a strategy for restoring power across multiple microgrids that puts critical community and household loads first, using prediction-based control and estimation across multiple timescales.
  3. Use grid-forming (GFM) inverters, power electronics that can set grid voltage and frequency, to give the grid the best possible support while power is restored during and after extreme weather.
  4. Create techniques to prevent, detect and counter hardware Trojans, hidden malicious changes in electronic hardware, so the whole grid can better withstand cyber-attacks during severe weather.
  5. Build region-specific research infrastructure linking physical and computer systems, plus synthetic power-system datasets, to support data science and AI research on operating power grids.

More about the research

The power grid is one of the most complex systems people have built, and communities in very different regions depend on it during and after extreme weather. This project asks how grids can be made more resilient, and how affected communities can help design the solutions.

Why it matters

Communities facing hurricanes, blizzards and flooding, including those in Puerto Rico, rural Alaska, South Dakota and Maine, could recover power faster if restoration plans put critical loads first. Defenses against hardware cyber-attacks could make the grid more secure. Open, region-specific synthetic grid data could help utilities, federal agencies and researchers apply AI to operating the power grid.

Known grants

From NIH and NSF research grants. Labs often have other funding we can't see.

Collaborative Research: RII Track-2 FEC: STORM: Data-Driven Approaches for Secure Electric Grids

NSF · Sep 2023 – Aug 2027

Closest labs

Kwanghee Won

South Dakota State University, SD·Engineering

Develop a strategy to restore power across multiple connected microgrids after extreme weather, putting critical community and household loads first, using a multi-timescale predictive control and estimation framework with grid-forming (GFM) inverters.

Dominic Gross

University of Wisconsin-Madison, WI·Engineering·Early-career

Develop a control design and stability analysis framework for grid-forming inverters that explicitly accounts for the static and dynamic limits of power electronics and renewable generation in zero-carbon power systems.

Wencong Su

University of Michigan-Dearborn, MI·Engineering

Build a fundamental understanding of the practical challenges facing low-inertia power grids with high penetration of grid-forming inverter-based energy resources, which set grid voltage and frequency themselves.

The school

University of Puerto Rico-Mayaguez: 2 labs on PI Pages, $26M a year on research, 23 research doctorates a year.

More about University of Puerto Rico-Mayaguez

Reach out

A start for your email. Fill in the brackets.