Sandia Energy > Programs > Electric Grid > Advanced Grid Modeling > Staff > Miguel Jimenez Aparicio Miguel Jimenez Aparicio Senior Member of Technical Staff Contact Information Miguel Jimenez Aparicio / 505-527-3448 Biography Miguel Jimenez Aparicio is a Senior Member of Technical Staff in the Electric Power Systems Research Department at Sandia National Laboratories. His research focuses on fast, signal-based protection for distribution systems under scenarios of high renewable energy penetration. Miguel is also involved on the development of data-driven controllers for hybrid systems for grid-support tasks. His research interests include the reliable integration of distributed renewable energy resources into the grid, and the transition to data driven operation, control and protection of power systems. He received his M.S. in Electrical Engineering from Georgia Institute of Technology. Education M.S. in Electrical Engineering, Georgia Institute of Technology (Atlanta, USA) M.S. in Industrial Engineering, Universidad Pontificia Comillas (Madrid, Spain) B.S. in Electromechanical Engineering, Universidad Pontificia Comillas (Madrid, Spain) Google Scholar: Miguel Jimenez Aparicio Recent Publications Jimenez Aparicio, M.; Hernandez Alvidrez, J.; Montoya, A.Y.; Reno, M.J.: Embedded, Real-Time, and Distributed Traveling-Wave Fault Location Method Using Graph Convolutional Neural Networks. Energies 2022, 15, 7785. Jimenez Aparicio, M.; Reno, M. J.; Wilches Bernal, F. Traveling Wave Energy Analysis of Faults on Power Distribution Systems. Energies 2022, 15, 2741. M. Jimenez Aparicio, M. J. Reno, and J. Hernandez Alvidrez, “Fast Traveling Wave Detection and Identification Method for Power Distribution Systems Using the Discrete Wavelet Transform”. 2023 Innovative Smart Grid Technologies, North America (ISGT NA), 2023. M. J. Aparicio, F. Wilches Bernal and M. J. Reno, “Asynchronous Traveling Wave-based Distribution System Protection with Graph Neural System Protection with Graph Neural Networks”, 2022 IEEE Kansas Power and Energy Conference (KPEC), 2022. M. J. Aparicio, M. J. Reno, P. Barba and A. Bidram, “Multi-resolution Analysis Algorithm for Fast Fault Classification and Location in Distribution Systems”, 2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE), 2021.