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New Power Quality Indices for the Assessment of Waveform Distortions from 0 to 150 kHz in Power Systems with Renewable Generation and Modern Non-Linear Loads
Department of Electrical Engineering and Information Technology, University of Naples Federico II, Italy.
Department of Engineering, University of Naples Parthenope, Centro Direzionale of Naples.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0002-9103-0226
2017 (English)In: Energies, E-ISSN 1996-1073, Vol. 10, no 10, article id 1633Article in journal (Refereed) Published
Abstract [en]

The widespread use of power electronics converters, e.g., to interface renewable generation systems with the grid or to supply some high-efficiency loads, has caused increased levels of waveform distortions in the modern distribution system. Voltage and current waveforms include spectral components from 0 kHz to 150 kHz, characterized by a non-uniform time-frequency behavior. This wide interval of frequencies is currently divided into "low-frequency" (from 0 kHz to 2 kHz) and "high-frequency" (from 2 kHz to 150 kHz). While the low-frequencies have been exhaustively investigated in the relevant literature and are covered by adequate standardization, studies for the high-frequencies have been addressed only in the last decade to fill current regulatory gaps. In this paper, new power quality (PQ) indices for the assessment of waveform distortions from 0 kHz to 150 kHz are proposed. Specifically, some currently available indices have been properly modified in order to extend their application also to wide-spectrum waveforms. In the particular case of waveform distortions due to renewable generation, numerical applications prove that the proposed indices are useful tools for the characterization of problems (e.g., overheating, equipment malfunctioning, losses due to skin effects, hysteresis losses or eddy current losses) in cases of both low-frequency and high-frequency distortions

Place, publisher, year, edition, pages
MDPI , 2017. Vol. 10, no 10, article id 1633
Keywords [en]
power quality indices, waveform distortions, high-frequency spectral components, fluorescent lamps, renewable generation
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electric Power Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-66531DOI: 10.3390/en10101633ISI: 000414578400188Scopus ID: 2-s2.0-85044466671OAI: oai:DiVA.org:ltu-66531DiVA, id: diva2:1155846
Note

Validerad;2017;Nivå 2;2017-11-09 (andbra)

Available from: 2017-11-09 Created: 2017-11-09 Last updated: 2023-08-28Bibliographically approved

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