Statistical characterization of DFT-based waveform distortion evaluations in power systems

Author

Bellan, Diego

Author_Institution

Politec. di Milano, Milan, Italy

fYear

2009

fDate

21-23 Sept. 2009

Firstpage

484

Lastpage

487

Abstract

The paper deals with the statistical characterization of the so-called r.m.s. value of a harmonic subgroup defined in the Standard IEC 61000-4-7 regarding harmonics and interharmonics measurements and instrumentation for power supply systems and equipment connected thereto. A complete statistical characterization is provided in terms of probability density function, cumulative distribution function, and statistical moments by exploiting the properties of noise propagation through the discrete Fourier transform.

Keywords

discrete Fourier transforms; power supply quality; power system harmonics; power system measurement; probability; DFT; Standard IEC 61000-4-7; cumulative distribution function; discrete Fourier transform; harmonic subgroup; interharmonics measurements; noise propagation; power supply systems; power systems; probability density function; statistical moments; waveform distortion evaluations; Distortion measurement; IEC standards; Instruments; Measurement standards; Power measurement; Power supplies; Power system harmonics; Power system measurements; Power systems; Probability density function; Discrete Fourier transforms; harmonic distortion; noise; power quality; uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2009. IDAACS 2009. IEEE International Workshop on

Conference_Location

Rende

Print_ISBN

978-1-4244-4901-9

Electronic_ISBN

978-1-4244-4882-1

Type

conf

DOI

10.1109/IDAACS.2009.5342934

Filename

5342934