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Tatiane C. C. Fernandes

Researcher at Federal University of São Carlos

Publications -  20
Citations -  370

Tatiane C. C. Fernandes is an academic researcher from Federal University of São Carlos. The author has contributed to research in topics: Sensitivity (control systems) & Electric power system. The author has an hindex of 5, co-authored 19 publications receiving 289 citations. Previous affiliations of Tatiane C. C. Fernandes include University of São Paulo & São Paulo Federal Institute of Education, Science and Technology.

Papers
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Benchmark systems for small signal stability analysis and control

TL;DR: This report documents the work of the IEEE PES Task Force on Benchmark Systems for Stability Controls and presents the objectives of the TF, the guidelines used to select the benchmarks, a brief description of each benchmark system so the reader can select the most suitable system for the intended application.
Journal ArticleDOI

Parameter estimation of a synchronous generator model under unbalanced operating conditions

TL;DR: A new method to estimate parameters of a synchronous generator using measurements taken under unbalanced operating conditions is proposed, based on a combination of the application of the Unscented Kalman Filter and Trajectory Sensitivity techniques.
Proceedings ArticleDOI

Application of extended participation factors to detect voltage fluctuations in distributed generation systems

TL;DR: In this article, the authors proposed the use of extended participation factors as a tool to detect voltage fluctuations caused by electromechanical oscillations in distributed generation systems, and the results of a case study show that, in some cases, traditional participation factors are not able to detect these fluctuations, while the extended participation factor performed well with respect to this detection.
Journal ArticleDOI

A UKF-based approach to estimate parameters of a three-phase synchronous generator model

TL;DR: An approach based on the Unscented Kalman Filter to estimate the parameters of a three-phase synchronous generator model makes use of the trajectory sensitivity functions to assess the influence of the parameters in the model outputs and to classify the parameters into subgroups.