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Accurate assessment of waveform distortions up to 150 kHz due to fluorescent lamps
Department of Engineering, University of Naples Parthenope, Centro Direzionale of Naples.
Department of Engineering, University of Naples Parthenope, Centro Direzionale of Naples.
Department of Electrical Engineering and Information Technology, University of Naples Federico II.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.
2017 (English)In: 2017 6th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2017, Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017, 636-644 p., 8004756Conference paper, Published paper (Refereed)
Abstract [en]

Fluorescent lamps are among the most diffuse electrical components that introduce significant waveform distortions in low voltage distribution systems. These distortions involve a wide range of frequencies (i.e., from 0 kHz to 150 kHz), and spectral components characterized by a non-uniform behavior in time and frequency domains. Early IEC standards covered formally only the range from 0 kHz to 9 kHz, defining grouping and group total harmonic distortion both for the low-frequencies (i.e., from 0 kHz to 2 kHz) and for frequencies ranging from 2 kHz to 9 kHz. Recently, the IEC standards have suggested to extend the grouping, previously defined for the range from 2 kHz to 9 kHz, also to the range from 9 kHz to 150 kHz. In this paper, the waveform distortions of a variable number of fluorescent lamps were quantified by applying the main Power Quality indices currently available for such devices. Indices are evaluated using both the IEC method and an hybrid method proposed recently in the relevant literature, i.e., the sliding-window Wavelet-Modified ESPRIT method. Numerical applications on measured data show the waveform distortion levels versus the number of lamps, quantifying also the different performances of the aforesaid spectral analysis methods

Place, publisher, year, edition, pages
Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017. 636-644 p., 8004756
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electric Power Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-65599DOI: 10.1109/ICCEP.2017.8004756Scopus ID: 2-s2.0-85028518163ISBN: 9781509046829 (electronic)OAI: oai:DiVA.org:ltu-65599DiVA: diva2:1140508
Conference
6th International Conference on Clean Electrical Power, ICCEP 2017, Santa Margherita Ligure, Italy, 27-29 June 2017
Available from: 2017-09-12 Created: 2017-09-12 Last updated: 2017-09-12Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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