CV Lattes
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Universidade Federal de São Carlos (UFSCAR). Centro de Ciências Exatas e de Tecnologia (CCET) (Institutional affiliation from the last research proposal) Birthplace: Brazil
She holds a degree in Electrical Engineering from the Federal University of Viçosa (2005), a Master's degree in Electrical Engineering with a focus on Power Systems from the University of São Paulo (2012), São Carlos campus, and a Ph.D. in Electrical Engineering, also in the area of Power Systems, from the University of São Paulo (2017), São Carlos campus. From 2014 to 2018, she was a professor at the Federal Institute of Education, Science, and Technology of São Paulo, Piracicaba campus. Currently, she is a professor at the Federal University of São Carlos, in the Department of Electrical Engineering, and is part of the faculty of the Graduate Program in Electrical Engineering at UFSCar. Her research interests include small-signal stability in power systems and active distribution networks, the application of digital signal processing techniques to study angular stability in power systems with high penetration of renewable energy sources, and the parameterization of dynamic equivalents for microgrids (Source: Lattes Curriculum)
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The integration of distributed generation into distribution systems, mainly composed of renewable energy sources, has driven the development of equivalent models that enable the representation of the active dynamic behavior of these systems for stability studies. However, obtaining a simplified model capable of capturing the main dynamics of the microgrid under different operating scenari…
In the planning and operating of a power system, accurate information about the dynamic behavior of this system is essential for its effective control and reliable operation. For example, the monitoring of dynamic oscillatory behaviors resulting from electromechanical interactions provides evidence of a possible overloading of the network and its stability. In the context of smart grids, …
The analysis of oscillatory phenomena is a recurrent practice in several areas of research since many systems have oscillatory behavior when disturbed. In electric power systems, in the small-signal stability analysis, the electromechanical oscillations, which are the result of a temporary imbalance between the mechanical and electrical torque of the machine, are widely studied. To mitiga…
This project proposes the development of a new approach to allow a more efficient application of techniques to estimate the oscillation modes in the response of a power system to small perturbations. This approach will be based in the insertion of probing signals, at strategically selected places in the system. The mentioned estimation will be carried out using sampled data from the simul…
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