Samuel T. Ojetola

Senior Member of Technical Staff

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Senior Member of Technical Staff

sojetol@sandia.gov

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(505) 250-3208

Biography

Samuel T. Ojetola is a Senior Member of Technical Staff at Sandia National Laboratories. His expertise includes, power system dynamics and control, improvement of grid reliability and resilience to extreme events, machine-learning based protection for distributed networks, and resilient energy integration. Before joining Sandia, he was an intern at the Pacific Northwest National Laboratories, where he contributed to the development of the Dynamic Contingency Analysis Tool (DCAT). Dr. Ojetola is also involved with the IEEE Energy Storage & Stationary Battery Committee for developing recommended practice for energy storage management systems in energy storage applications. He received his BS degree in Electrical and Electronics Engineering at the University of Lagos, Nigeria and his MSc degree in Electrical Engineering from the University of Bridgeport, CT. He also holds a PhD in Electrical Engineering from Montana State University, Bozeman, MT.

Education

  • Ph.D. Electrical Engineering, Montana State University, MT
  • Masters of Science, Electrical Engineering, University of Bridgeport, CT
  • Bachelors of Science, Electrical and Electronics Engineering, University of Lagos, Nigeria

Publications

  • Stamber, K., Arguello, B., Garrett, R., Beyeler, W., Doyle, C., Ojetola, S., Schoenwald, D., & Schoenwald, D. (2022). Optimal Electric Grid Black Start Restoration Subject to Intentional Threats. https://doi.org/10.2172/1891379 Publication ID: 80333
  • Ojetola, S., Wold, J., Trudnowski, D., & Trudnowski, D. (2022). Feedback Control Strategy for Transient Stability Application. Energies, 15(16). https://doi.org/10.3390/en15166016 Publication ID: 80111
  • Ojetola, S., Reno, M., Flicker, J., Bauer, D., Stoltzfuz, D., & Stoltzfuz, D. (2022). Testing Machine Learned Fault Detection and Classification on a DC Microgrid [Conference Paper]. 2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022. https://doi.org/10.1109/ISGT50606.2022.9817517 Publication ID: 75724
  • Reno, M., Jones, C., Ojetola, S., & Ojetola, S. (2021). Machine Learning Based Fault Detection And Location In Electric Power Distribution Systems [Conference Presenation]. https://doi.org/10.2172/1887044 Publication ID: 75599
  • Ojetola, S., Wold, J., Trudnowski, D., Wilches-Bernal, F., Elliott, R., & Elliott, R. (2020). A real power injection control strategy for improving transient stability [Conference Poster]. IEEE Power and Energy Society General Meeting. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85099169419&origin=inward Publication ID: 66258
5 publications