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Experimental Determination of Parameters of Nonlinear Electrical Load

Author

Listed:
  • Aleksandr Skamyin

    (Department of Electric Power and Electromechanics, Saint-Petersburg Mining University, 199106 Saint-Petersburg, Russia)

  • Yaroslav Shklyarskiy

    (Department of General Electrical Engineering, Saint-Petersburg Mining University, 199106 Saint-Petersburg, Russia)

  • Vasiliy Dobush

    (Department of General Electrical Engineering, Saint-Petersburg Mining University, 199106 Saint-Petersburg, Russia)

  • Iuliia Dobush

    (Department of General Electrical Engineering, Saint-Petersburg Mining University, 199106 Saint-Petersburg, Russia)

Abstract

The paper deals with issues of modeling nonlinear electrical loads of various types, such an uncontrolled rectifier, thyristor rectifier, thyristor power regulator and mixed equivalent nonlinear load. For these load types, existing analytical expressions were identified to determine the magnitudes of harmonic currents, and waveforms of currents were obtained during measurements in laboratory conditions with variable parameters of the grid impedance and load. The obtained results were compared, and it was found that the error in determining the magnitudes of harmonic currents can reach 60% for an individual load and 54% for an equivalent load. A more accurate method for determining the parameters of nonlinear electrical load is also proposed, which is based on the application of shunt harmonic filters. In laboratory conditions, it was found that when using the developed method, the error did not exceed 10% for an individual load and 14% for an equivalent load.

Suggested Citation

  • Aleksandr Skamyin & Yaroslav Shklyarskiy & Vasiliy Dobush & Iuliia Dobush, 2021. "Experimental Determination of Parameters of Nonlinear Electrical Load," Energies, MDPI, vol. 14(22), pages 1-14, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:22:p:7762-:d:682840
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    References listed on IDEAS

    as
    1. Yaroslav Shklyarskiy & Aleksandr Skamyin & Iaroslav Vladimirov & Farit Gazizov, 2020. "Distortion Load Identification Based on the Application of Compensating Devices," Energies, MDPI, vol. 13(6), pages 1-13, March.
    2. Leonel Estrada & Nimrod Vázquez & Joaquín Vaquero & Ángel de Castro & Jaime Arau, 2020. "Real-Time Hardware in the Loop Simulation Methodology for Power Converters Using LabVIEW FPGA," Energies, MDPI, vol. 13(2), pages 1-19, January.
    3. Alexander Lavrik & Yuri Zhukovskiy & Pavel Tcvetkov, 2021. "Optimizing the Size of Autonomous Hybrid Microgrids with Regard to Load Shifting," Energies, MDPI, vol. 14(16), pages 1-19, August.
    4. Patrobers Simiyu & I. E. Davidson, 2021. "MVDC Railway Traction Power Systems; State-of-the Art, Opportunities, and Challenges," Energies, MDPI, vol. 14(14), pages 1-27, July.
    5. Marco Faifer & Christian Laurano & Roberto Ottoboni & Sergio Toscani & Michele Zanoni, 2020. "Frequency-Domain Nonlinear Modeling Approaches for Power Systems Components—A Comparison," Energies, MDPI, vol. 13(10), pages 1-14, May.
    6. Zameer Ahmad & Jose Rueda Torres & Nidarshan Veera Kumar & Elyas Rakhshani & Peter Palensky & Mart van der Meijden, 2020. "A Power Hardware-in-the-Loop Based Method for FAPR Compliance Testing of the Wind Turbine Converters Control," Energies, MDPI, vol. 13(19), pages 1-12, October.
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    2. Polina V. Tatarenko & Alexander S. Tatarenko, 2022. "Solution of an Electrodynamic Problem for a Homogeneous Equivalent Segment of a Coaxial Load, Considering Heat Losses in the Conductors," Mathematics, MDPI, vol. 10(24), pages 1-16, December.

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