Rodrigo Trevizan

Sandia Energy > Programs > Energy Storage > Staff > Rodrigo Trevizan
Avatar

Rodrigo D. Trevizan, Ph.D.

Electrical Engineer

Contact Information

Rodrigo D. Trevizan / 505-382-3349

Biography

Rodrigo D. Trevizan is a Senior Member of Technical Staff at Sandia National Laboratories. Rodrigo authored research papers on the subjects of control of energy storage systems and demand response for power grid stabilization, power system state estimation, and detection of nontechnical losses in distribution systems. Rodrigo received a B.S. and M.Sc. degree in Electrical Engineering from the Federal University of Rio Grande do Sul, Brazil, in 2012 and 2014, respectively, a M.Sc. in Power Systems Engineering from the Grenoble Institute of Technology (ENSE3) in 2011 and a Ph.D. in Electrical and Computer Engineering from the University of Florida in 2018.

Education

    Ph.D., Electrical and Computer Engineering, University of Florida – 2018
    Masters of Science, Electrical Engineering, Federal University of Rio Grande do Sul, Brazil – 2014
    Bachelors of Science, Electrical Engineering, Federal University of Rio Grand do Sul, Brazil – 2012
    Bachelors of Science, Electrical Power Engineering, Grenoble Institute of Technology, France – 2011

Research Interests

    Battery Energy Storage Systems Security
    Power System State Estimation
    Techno-economic analysis of energy storage systems
    Renewable Energy Integration
    Stability of Power Systems
    Applications of Storage Systems
    Cyber-Physical Security of Power Systems
    Detection of Nontechnical Losses
    Machine Learning
    Demand-side Frequency Regulation

Google Scholar:

Rodrigo D. Trevizan

Key Publications

    R.D. Trevizan, J. Obert, V. De Angelis, T.A. Nguyen, V.S. Rao and B.R. Chalamala, “Cyberphysical Security of Grid Battery Energy Storage Systems,” IEEE Access, vol. 10, pp. 59675-59722, 2022.

    M. Ayar, S. Obuz, R.D. Trevizan, A.S. Bretas, H.A. Latchman A Distributed Control Approach for Enhancing Smart Grid Transient Stability and Resilience IEEE Trans. Smart Grid, v. 8, p. 3035-3044, 2017, DOI: 10.1109/TSG.2017.2714982.

    R.R. Bhat, R.D. Trevizan, R. Sengupta, X. Li, A.S. Bretas Identifying Nontechnical Power Loss via Spatial and Temporal Deep Learning 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), Anaheim, CA, 2016, pp. 272-279, DOI: 10.1109/ICMLA.2016.0052.

    R.D. Trevizan, A.S. Bretas, A. Rossoni Nontechnical Losses detection: A Discrete Cosine Transform and Optimum-Path Forest based approach 2015 North American Power Symposium (NAPS), Charlotte, NC, 2015, pp. 1-6, DOI: 10.1109/NAPS.2015.7335160.

    M. Ayar, R.D. Trevizan, S. Obuz, A. Bretas, H. Latchman, N. Bretas A Cyber-Physical Robust Control Framework for Enhancing Transient Stability of Smart Grids IET Cyber-Physical Systems: Theory & Applications, 2: 198-206, DOI: 10.1049/iet-cps.2017.0017.