Thad Haines

Avatar

Thad Haines

Senior Member, Technical Staff

Contact Information

Thad Haines / (505) 280-0950

Biography

Thad Haines is a senior member of the technical staff with the Renewable Energy and Distributed Systems Integration department at Sandia National Laboratories where his work contributes to better understanding issues related to resilience, stability, and controllability of electrical power systems due to increased renewable energy adoption and electrification of transportation. He has studied possible grid integration challenges with EV charging, as well as mitigation approaches during normal day-to-day operation and extreme weather events. Additionally, he has contributed to researching alternatives for fossil-based generation in an island setting, helped identify critical infrastructure to benefit community resilience, developed and simulated plant-wide inverter-based resource controls, and added long-term dynamic power system simulation via variable time-step integration into an open-source software package. Thad holds a Master of Science and a Bachelor of Science in Electrical Engineering from Montana Technological University, Butte America.

Education

    Master of Science, Electrical Engineering, Montana Technological University – 2020
    Bachelor of Science, Electrical Engineering, Montana Tech of the University of Montana – 2018

IEEExplore:

Thad Haines

ORCID:

Thad Haines

Key Publications

2022

    T. Haines, M. Donnelly and D. Trudnowski, “Power System Toolbox Updates to Enable Long-Term Variable Time-Step Dynamic Simulation,” 2022 IEEE Power & Energy Society General Meeting (PESGM), 2022, pp. 1-5, doi: 10.1109/PESGM48719.2022.9916927.
    T. Haines, F. Wilches-Bernal, R. Darbali-Zamora and M. Jiménez-Aparicio, “Flexible Control of Synthetic Inertia in Co-Located Clusters of Inverter-Based Resources,” 2022 IEEE Power and Energy Conference at Illinois (PECI), 2022, pp. 1-6, doi: 10.1109/PECI54197.2022.9744013.

2021

    T. Haines, B. M. Garcia, W. Vining and M. Lave, “A Co-Simulation Approach to Modeling Electric Vehicle Impacts on Distribution Feeders During Resilience Events,” 2021 Resilience Week (RWS), 2021, pp. 1-5, doi: 10.1109/RWS52686.2021.9611803.