Learning and Control Systems for the Integration of Renewable Energy into Grids of the Future (PhD ’20)
Patricia is a Ph.D. candidate at UC Berkeley co-advised by Daniel Kammen and Claire Tomlin. She obtained an M.S. from the Energy and Resources Group, UC Berkeley (2016). She graduated with highest honors as an Industrial and Electrical engineer from Pontificia Universidad Católica of Chile.
She is an NSF GRFP fellow, Siebel Scholar in Energy, Rising Star in EECS, and has been awarded the UC Berkeley GOP, and the Outstanding Graduate Student Instructor Award (for teaching Convex Optimization with professors Laurent El Ghaoui and Alex Bayen).
Her work focuses on high penetration of renewable energy using optimization, control theory and machine learning. Patricia co-developed a stochastic power system expansion model to study the Western North America’s grid under climate change uncertainty. She also works on frequency regulation with low inertia. Her collaborations have included the California Energy Commission, LBNL, NREL, E3, and NRDC. She served as Best Paper Session Judge for the session “Power System Stability, Phasor Measurements, Protection, and Control” at the 2019 IEEE Power & Energy Society General Meeting (PESGM). Patricia also serves as an IEEE reviewer for the Transactions on Power Systems journal, Conference on Decision and Control, American Control Conference, and PESGM.
- Frequency Regulation using Sparse Learned Controllers in Power Grids with VariableInertia due to Renewable Energy (to appear online),
- Distributed Model Predictive Control for Autonomous Droop-Controlled Inverter-Based Microgrids (to appear online),
- Frequency Regulation using Data-Driven Controllers in Power Grids with Variable Inertia due to Renewable Energy (to appear online),
- Frequency Regulation in Hybrid Power Dynamics with Variable and Low Inertia due to Renewable Energy
- Building a Healthier and More Robust Future: 2050 Low-Carbon Energy Scenarios for California
- Envisioning a Sustainable Chile: Five findings about the future of the Chilean electricity and energy system
- String-Level (kW-scale) IV curves from different module types under partial shade
- I–V curves and visual inspection of 250 PV modules deployed over 2 years in Tucson