Advanced signal processing tools can provide significant information on power systems. In this field of research, the present paper illustrates a time-frequency analysis to detect some properties of the power required by different types of users. Fourier and Wavelet transforms, in particular, are the numerical instruments to reveal the periodicity of the power signals and their stationarity. Results point out that different types of users are characterized by different sets of non-stationary frequency contributions, which can identify the typology of user.
A time-frequency analysis of electrical users by means of Fourier and Wavelet transforms / Vergura, Silvano; Carpentieri, Mario; Puliafito, Vito. - (2016). (Intervento presentato al convegno 16th International Conference on Environment and Electrical Engineering, EEEIC 2016 tenutosi a Firenze, Italy nel June 07-10, 2016) [10.1109/EEEIC.2016.7555704].
A time-frequency analysis of electrical users by means of Fourier and Wavelet transforms
VERGURA, Silvano;CARPENTIERI, Mario;Puliafito, Vito
2016-01-01
Abstract
Advanced signal processing tools can provide significant information on power systems. In this field of research, the present paper illustrates a time-frequency analysis to detect some properties of the power required by different types of users. Fourier and Wavelet transforms, in particular, are the numerical instruments to reveal the periodicity of the power signals and their stationarity. Results point out that different types of users are characterized by different sets of non-stationary frequency contributions, which can identify the typology of user.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
