Samuel T. Ojetola

Senior Member of Technical Staff

(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 renewable 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

Kevin Stamber, Bryan Arguello, Richard Garrett, Walter Beyeler, Casey Doyle, Samuel Ojetola, David Schoenwald, (2022). Optimal Electric Grid Black Start Restoration Subject to Intentional Threats https://doi.org/10.2172/1891379 Publication ID: 80333

Samuel Ojetola, Josh Wold, Daniel Trudnowski, (2022). Feedback Control Strategy for Transient Stability Application Energies https://doi.org/10.3390/en15166016 Publication ID: 80111

Samuel Ojetola, Matthew Reno, Jack Flicker, Daniel Bauer, David Stoltzfuz, (2022). Testing Machine Learned Fault Detection and Classification on a DC Microgrid 2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022 https://doi.org/10.1109/ISGT50606.2022.9817517 Publication ID: 75724

Matthew Reno, Christian Jones, Samuel Ojetola, (2021). Machine Learning Based Fault Detection And Location In Electric Power Distribution Systems https://doi.org/10.2172/1887044 Publication ID: 75599

Samuel Ojetola, Josh Wold, Daniel Trudnowski, Felipe Wilches-Bernal, Ryan Elliott, (2020). A real power injection control strategy for improving transient stability IEEE Power and Energy Society General Meeting https://www.osti.gov/servlets/purl/1643263 Publication ID: 66258

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