Nadia Panossian

Nadia Panossian

Researcher III-Electrical Engineering


Nadia is an electrical engineering researcher in the Transmission & Distribution Interactions Group within the Grid Planning and Analysis Center with a focus on distribution system modeling. She works on projects involving distributed energy resource integration including electric vehicles, bridging transmission and distribution systems, and wildfire risk assessment and management as related to power systems. Her previous work involved power generation dispatch optimization, especially when involving energy storage, renewables, and thermal systems. She has experience in machine learning and numerical optimization methods for power system controls.

Research Interests

Grid-electric vehicle integration

Wildfire-power system interactions

Transmission and distribution co-simulation for increased distributed energy resource adoption


Ph.D., Mechanical Engineering, Washington State University

M.S., Mechanical Engineering, Washington State University

B.S., Mechanical Engineering, University of Maryland

Professional Experience

Research Assistant, Washington State University (2016–2019)

Graduate Intern, Pacific Northwest National Lab (2019)

Graduate Intern, Sandia National Lab (2017)

Mechanical Engineer, Siemens Energy Inc. (2015–2016)

Undergraduate Intern, Baltimore Gas and Electric (2014)

Undergraduate Intern, Army Research Lab (2013)

Associations and Memberships

General Member, Institute of Electrical and Electronics Engineers (IEEE)

Professional Member, Society of Women Engineers

General Member, Tau Beta Pi, Engineering Honors Society

Featured Work

Synthetic, Realistic Transmission and Distribution Co-Simulation for Voltage Control Benchmarking, IEEE TPEC (2021)

Challenges and Opportunities of Integrating Electric Vehicles in Electricity Distribution Systems, Current Sustainable/Renewable Energy Reports (to be published)

Solar Futures Study, U.S. Department of Energy Technical Report (2021)

Artificial Neural Network for Unit Commitment on Networks with Significant Energy Storage, IEEE Green Tech (2019)

Dynamic Economic Dispatch Using Complementary Quadratic Programming, Energy (2019)

Wind Turbine Wake Definition and Identification Using Velocity Deficit and Turbulence Profile, AIAA SciTech Wind Energy Symposium (2018)

Awards and Honors

Pacific Northwest National Lab-Washington State University Distinguished Graduate Research Program Fellowship Recipient (2017–2019)

Washington State University Research Assistantship for Diverse Scholars Recipient (2016)