RT journal article
T1 Application of Spectral Kurtosis to Characterize Amplitude Variability in Power Systems’ Harmonics
A1 Sierra Fernández, José María
A1 Rönnberg, Sarah
A1 González de la Rosa, Juan José
A1 Bollen, Math H. J.
A1 Palomares Salas, José Carlos
A2 Ingeniería de Sistemas y AutomáticaTecnología Electrónica y Electrónica
K1 harmonics
K1 constant amplitude trend
K1 fourth-order statistics
K1 detection
K1 spectral kurtosis
AB The highly-changing concept of Power Quality (PQ) needs to be continuously reformulateddue to the new schemas of the power grid or Smart Grid (SG). In general, the spectral content ischaracterized by their averaged or extreme values. However, new PQ events may consist of largevariations in amplitude that occur in a short time or small variations in amplitude that take placecontinuously. Thus, the former second-order techniques are not suitable to monitor the dynamicsof the power spectrum. In this work, a strategy based on Spectral Kurtosis (SK) is introduced todetect frequency components with a constant amplitude trend, which accounts for amplitude values’dispersion related to the mean value of that spectral component. SK has been proven to measurefrequency components that follow a constant amplitude trend. Two practical real-life cases havebeen considered: electric current time-series from an arc furnace and the power grid voltage supply.Both cases confirm that the more concentrated the amplitude values are around the mean value,the lower the SK values are. All this confirms SK as an effective tool for evaluating frequencycomponents with a constant amplitude trend, being able to provide information beyond maximumvariation around the mean value and giving a progressive index of value dispersion around the meanamplitude value, for each frequency component.
PB MDPI
SN 1996-1073
YR 2019
FD 2019-01
LK http://hdl.handle.net/10498/21293
UL http://hdl.handle.net/10498/21293
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 21-sep-2026