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Analysis of power quality phenomena under time-varying conditions has become an important subject as the complexity of the grid increases. As a consequence, several methods have been developed/applied also to study power quality parameters during transient conditions such as time-frequency methods. This paper proposes a new time-varying harmonic decomposition structure based on a Recursive Hanning...
The main objective of this paper is to present a time-varying harmonic decomposition using the sliding-window Discrete Fourier Transform including a dyadic downsampling. The method has been conceived to decompose and to visualize time-varying harmonics up to 15th order, with a low computational effort. The downsampling must be done carefully in order to impose no aliasing error to the lower order...
Fourier analysis is one of the most utilized mathematical techniques across a wide range of disciplines that covers from physics and engineering to biology, economics, oceanography, and other areas. However, the geniality of Joseph Fourier in the process of his discovery is not well known and recognized. This paper attempts to reproduce some of the original experiments carried out that Joseph Fourier...
Fourier analysis is one of the most utilized mathematical techniques across a wide range of disciplines that covers from physics and engineering to biology, economics, oceanography, and other areas. However, the geniality of Joseph Fourier in the process of his discovery is not well known and recognized. This paper attempts to reproduce some of the original experiments carried out that Joseph Fourier...
Although it is well known that Fourier analysis is in reality only accurately applicable to steady state waveforms, it is a widely used tool to study and monitor time-varying signals, which are commonplace in electrical power systems. The disadvantages of Fourier analysis, such as frequency spillover or problems due to sampling (data window) truncation can often be minimized by various windowing techniques,...
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