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Method for estimating synchrophasors during static and dynamic conditions

Related publications (40)

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Diffractionless Fourier Domain Microscopy

Theo Lasser, Rainer Leitgeb, Cédric Blatter, Tilman Schmoll

Several methods have been proposed and realized to increase the lateral resolution in microscopy and ultimately to beat the actual diffraction limit as stated by Abbe. Structured illumination for example enhances the lateral resolution by virtually extendi ...

2011

On-line frequency adaptation and movement imitation for rhythmic robotic tasks

Auke Ijspeert, Tadej Petric

In this paper we present a novel method to obtain the basic frequency of an unknown periodic signal with an arbitrary waveform, which can work online with no additional signal processing or logical operations. The method originates from non-linear dynamica ...

2011

Applications of short space-time Fourier analysis in digital acoustics

Martin Vetterli, Francisco Pereira Correia Pinto

This paper presents a signal processing tool for analyzing and manipulating digitized acoustic wave fields, based on a spatio-temporal extension of the time-frequency representation space. The emphasis is on wave fields acquired with a 1-D linear array of ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

A Synchrophasor Estimation Algorithm for the Monitoring of Active Distribution Networks in Steady State and Transient Conditions

Mario Paolone, Carlo Alberto Nucci

The paper presents a PMU prototype specifically developed for active distribution network applications. The paper describes the method developed to accurately measure the synchrophasors, its implementation into a real-time microcontroller and the relevant ...

KTH2011

Signal Processing in Space and Time

Francisco Pereira Correia Pinto

Sound waves propagate through space and time by transference of energy between the particles in the medium, which vibrate according to the oscillation patterns of the waves. These vibrations can be captured by a microphone and translated into a digital sig ...

EPFL2010

Learning Sparse Systems at Sub-Nyquist Rates: A Frequency-Domain Approach

Martin Vetterli, Yue Lu

We propose a novel algorithm for sparse system identification in the frequency domain. Key to our result is the observation that the Fourier transform of the sparse impulse response is a simple sum of complex exponentials, whose parameters can be efficient ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Development of an RTU for synchrophasors estimation in active distribution networks

Mario Paolone

The centralized control of active distribution networks with large penetration of dispersed resources requires algorithms capable of providing network state estimation. Within this context, the measurement of bus voltage synchrophasors provides useful data ...

2009

Mixed-domain system representation using Volterra series

Martin Hasler

Mixed-signal systems combine analog and digital signal processing in one overall design that should be integrated as a single system on chip. At system level, the separation into isolated subsystem representations for analog and digital parts needs to be o ...

IEEE2008

On Interpolation and Resampling of Discrete Data

Pouya Dehghani Tafti

This letter introduces a new representation of discrete signals based on the mathematical notions of functionals and continuous dual spaces. A new and more general sampling theorem is also suggested. Next, the problems of interpolating and resampling discr ...

IEEE2006

Time- vs. frequency-domain femtosecond surface sum frequency generation

Sylvie Roke

We present an experimental and theoretical investigation into time- vs. frequency-domain femtosecond sum frequency spectroscopy at the metal-liquid interface. Although frequency and time-domain measurements are theoretically equivalent it is demonstrated h ...

2003