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The Impact of Supply Voltage Waveform Distortion on Non-Intentional Emission in the Frequency Range 2–150 kHz: An Experimental Study with Power-Line Communication and Selected End-User Equipment

Author

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  • Marek Wasowski

    (Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wrocław, Poland)

  • Tomasz Sikorski

    (Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wrocław, Poland)

  • Grzegorz Wisniewski

    (Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wrocław, Poland)

  • Pawel Kostyla

    (Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wrocław, Poland)

  • Jaroslaw Szymanda

    (Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wrocław, Poland)

  • Marcin Habrych

    (Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wrocław, Poland)

  • Lukasz Gornicki

    (TAURON Dystrybucja Pomiary Ltd., 33-100 Tarnow, Poland)

  • Jaroslaw Sokol

    (TAURON Dystrybucja Pomiary Ltd., 33-100 Tarnow, Poland)

  • Mariusz Jurczyk

    (TAURON Dystrybucja Pomiary Ltd., 33-100 Tarnow, Poland)

Abstract

Knowledge of the conducted emissions in the frequency range 2–150 kHz contains some gaps related to the impact of the harmonics in the supply voltage on the nature of these emissions. It can be noticed that the conducted emissions from non-sinusoidal power supplies have not been studied sufficiently, and that the impact of this distortion may be greater than the generally known results of emission tests carried out under standardized test conditions. This paper is aimed at investigating experimental cases of the influence of supply voltage waveform distortion on non-intentional emission in the range 2–150 kHz and the efficiency of power line communication based on selected PRIME (PoweRline Intelligent Metering Evolution) power line communication (PLC) technology. A series of experimental laboratory studies were investigated, representing the operation of the investigated PLC system with different types of end-user equipment (LED—Light Emitting Diode, CFL—Compact Fluorescent Lamp, induction motor with frequency converter) working under a distorted supply voltage condition obtained by the programmable power supply for different scenarios of the admissible harmonics contribution in the range 0–2 kHz. The scenarios included limits defined in standards EN 50160 and IEC 61000-4-13. The researchers used spectral analysis with a notation to emission limits, compatibility levels, and mains signalling, as well as statistics of the PLC communication. The obtained results provide important conclusions, which may be applied both in the development of the design of the appliances in question and the higher frequency emission testing methods.

Suggested Citation

  • Marek Wasowski & Tomasz Sikorski & Grzegorz Wisniewski & Pawel Kostyla & Jaroslaw Szymanda & Marcin Habrych & Lukasz Gornicki & Jaroslaw Sokol & Mariusz Jurczyk, 2021. "The Impact of Supply Voltage Waveform Distortion on Non-Intentional Emission in the Frequency Range 2–150 kHz: An Experimental Study with Power-Line Communication and Selected End-User Equipment," Energies, MDPI, vol. 14(3), pages 1-26, February.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:3:p:777-:d:491979
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    References listed on IDEAS

    as
    1. Yaroslav Shklyarskiy & Zbigniew Hanzelka & Aleksandr Skamyin, 2020. "Experimental Study of Harmonic Influence on Electrical Energy Metering," Energies, MDPI, vol. 13(21), pages 1-13, October.
    2. Noelia Uribe-Pérez & Itziar Angulo & Luis Hernández-Callejo & Txetxu Arzuaga & David De la Vega & Amaia Arrinda, 2016. "Study of Unwanted Emissions in the CENELEC-A Band Generated by Distributed Energy Resources and Their Influence over Narrow Band Power Line Communications," Energies, MDPI, vol. 9(12), pages 1-24, November.
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    Cited by:

    1. Łukasz Michalec & Paweł Kostyła & Zbigniew Leonowicz, 2022. "Supraharmonic Pollution Emitted by Nonlinear Loads in Power Networks—Ongoing Worldwide Research and Upcoming Challenges," Energies, MDPI, vol. 16(1), pages 1-14, December.
    2. Juan Roberto Lopez & Luis Ibarra & Pedro Ponce & Arturo Molina, 2021. "A Decentralized Passive Islanding Detection Method Based on the Variations of Estimated Droop Characteristics," Energies, MDPI, vol. 14(22), pages 1-19, November.
    3. Zbigniew Leonowicz & Michal Jasinski, 2022. "Machine Learning and Data Mining Applications in Power Systems," Energies, MDPI, vol. 15(5), pages 1-2, February.

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