PIPages
Labs

Kwanghee Won

South Dakota State University, SD·Engineering

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

Fields

Engineering

Computer Science

Topics

smart grid

power grid resilience

microgrids

Grants
1 known grant, through Aug 2027

What they work on

  1. 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.
  2. Create techniques to prevent, detect and mitigate hardware Trojans, hidden malicious modifications to electronic components, so that the grid stays resilient to cyber attacks during severe weather.
  3. Build regionally relevant synthetic power-system models and datasets that support machine learning and artificial intelligence research on data-driven grid operation.
  4. Co-design microgrid solutions with community stakeholders in Maine, Alaska, South Dakota and Puerto Rico, and apply lessons learned in each region to the others.

More about the research

The power grid is among the most complex systems people have built, and keeping it running matters for national security and daily life. This work belongs to STORM, a multi-state collaborative project spanning Maine, Alaska, South Dakota and Puerto Rico. STORM asks how data-driven methods can make grids more resilient and secure in communities hit by severe weather. The grant describes the consortium's overall plan and does not spell out which part is led from South Dakota State University.

Why it matters

Rural and storm-exposed communities in Alaska, Maine, South Dakota and Puerto Rico could benefit from faster, better-prioritized power restoration after blizzards, hurricanes and floods. The project's methods for defending grid hardware against cyber attacks, along with its regional synthetic grid datasets, could also help utilities, electric cooperatives and federal agencies plan and run more resilient power systems.

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

Fabio Andrade

University of Puerto Rico-Mayaguez, PR·Engineering

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.

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.

Ying Huang

North Dakota State University, ND·Engineering

Identify key risks to North Dakota's energy systems from extreme weather and cyber threats, and assess statewide research capacity and gaps, through capacity assessments and scenario development.

The school

South Dakota State University: 3 labs on PI Pages, $82M a year on research, 46 research doctorates a year.

More about South Dakota State University

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