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Se Un Ahn

Researcher at Universidade Federal de Itajubá

Publications -  7
Citations -  208

Se Un Ahn is an academic researcher from Universidade Federal de Itajubá. The author has contributed to research in topics: Active filter & Adaptive filter. The author has an hindex of 4, co-authored 7 publications receiving 193 citations.

Papers
More filters
Journal ArticleDOI

A Digital PLL Scheme for Three-Phase System Using Modified Synchronous Reference Frame

TL;DR: The developed MSRF-PLL is fast in transient response compared to standard PLL technique, and the performance is robust against disturbances on the grid, voltage wave with harmonic distortion, and noise.
Proceedings ArticleDOI

Dead-time compensation in Shunt Active Power Filters using fast feedback loop

TL;DR: In this article, a new technique that speed up the feedback loop in Shunt Active Power Filter (SAPF) is proposed to compensate the dead-time effect in PWM inverters.
Proceedings ArticleDOI

A Simple Full Digital Adaptive Current Hysteresis Control with Constant Modulation Frequency for Active Power Filters

TL;DR: An algorithm to implement a full digital adaptive current hysteresis control in DSP that takes care of DC link voltage fluctuations, load parameters variations, and it guaranties constant switching frequency operation keeping the ripple at the smaller possible value.
Proceedings ArticleDOI

Detection of partial discharge in power transformers using Rogowski coil and multiresolution analysis

TL;DR: Partial discharge detection in power transformers is discussed using a new approach that exploit the broad band of the Rogowski coils and the potential of two signal processing tools: discrete wavelet transform and empirical mode decomposition as mentioned in this paper.
Proceedings ArticleDOI

Adaptive algorithm for real-time power quality measurement according to IEEE Std. 1459–2000

TL;DR: The development and implementation of an algorithm for real-time measurement of powers under sinusoidal, nonsinusoidal, balanced and unbalanced conditions is introduced and the efficiency of the algorithm is proven.