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Distortion Load Identification Based on the Application of Compensating Devices

Author

Listed:
  • Yaroslav Shklyarskiy

    (Department of General Electrical Engineering, Saint-Petersburg mining university, 199106 St Petersburg, Russia)

  • Aleksandr Skamyin

    (Department of Electric Power and Electromechanics, Saint-Petersburg mining university, 199106 St Petersburg, Russia)

  • Iaroslav Vladimirov

    (Higher School of Nuclear and Heat Power Engineering, Peter the Great St. Petersburg Polytechnic University, 195251 St Petersburg, Russia)

  • Farit Gazizov

    (Department of Economics and Organization Production, Kazan State Power Engineering University, 420066 Kazan, Russia)

Abstract

The article provides an analysis of the existing methods of identifying the consumer’s contribution to voltage distortion at a point of common coupling. The considered methods do not allow correctly and fairly determining the source of harmonic distortions, or they have limited application and difficulties in implementation. The paper proposes new methods for determining the source of high harmonics. The developed methods and techniques are based on the analysis of the grid operation modes with two connected consumers using compensating devices, such as reactive power compensation devices and passive harmonic filters. It is shown that the most promising method is the application of harmonic filters, which allows determining the share of the consumer’s contribution to the voltage distortion. The present research is carried out using a computer simulation of the existing electrical grid, to which consumers with nonlinear electric load are connected. These methods can be implemented to assess the power quality and the shareholding of different consumers connected at the point of common coupling. Furthermore, such methods appear to be feasible, as almost every enterprise currently has such facilities in operation.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:6:p:1430-:d:334309
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    References listed on IDEAS

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    1. Minwu Chen & Yinyu Chen & Mingchi Wei, 2019. "Modeling and Control of a Novel Hybrid Power Quality Compensation System for 25-kV Electrified Railway," Energies, MDPI, vol. 12(17), pages 1-23, August.
    2. Nadia Maria Salgado-Herrera & David Campos-Gaona & Olimpo Anaya-Lara & Miguel Robles & Osvaldo Rodríguez-Hernández & Juan Ramón Rodríguez-Rodríguez, 2019. "THD Reduction in Distributed Renewables Energy Access through Wind Energy Conversion System Integration under Wind Speed Conditions in Tamaulipas, Mexico," Energies, MDPI, vol. 12(18), pages 1-19, September.
    3. Yaqiong Li & Zhanfeng Deng & Tongxun Wang & Guoliang Zhao & Shengjun Zhou, 2018. "Coupled Harmonic Admittance Identification Based on Least Square Estimation," Energies, MDPI, vol. 11(10), pages 1-15, September.
    4. Lue Xiong & Mutasim Nour, 2019. "Techno-Economic Analysis of a Residential PV-Storage Model in a Distribution Network," Energies, MDPI, vol. 12(16), pages 1-16, August.
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    Cited by:

    1. Yaroslav Shklyarskiy & Iuliia Dobush & Miguel Jiménez Carrizosa & Vasiliy Dobush & Aleksandr Skamyin, 2021. "Method for Evaluation of the Utility’s and Consumers’ Contribution to the Current and Voltage Distortions at the PCC," Energies, MDPI, vol. 14(24), pages 1-21, December.
    2. N. I. Koteleva & N. A. Korolev & Y. L. Zhukovskiy, 2021. "Identification of the Technical Condition of Induction Motor Groups by the Total Energy Flow," Energies, MDPI, vol. 14(20), pages 1-23, October.
    3. Nikolay Korolev & Anatoly Kozyaruk & Valentin Morenov, 2021. "Efficiency Increase of Energy Systems in Oil and Gas Industry by Evaluation of Electric Drive Lifecycle," Energies, MDPI, vol. 14(19), pages 1-15, September.
    4. Valentin Morenov & Ekaterina Leusheva & George Buslaev & Ove T. Gudmestad, 2020. "System of Comprehensive Energy-Efficient Utilization of Associated Petroleum Gas with Reduced Carbon Footprint in the Field Conditions," Energies, MDPI, vol. 13(18), pages 1-14, September.
    5. 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.
    6. Valentin Morenov & Ekaterina Leusheva & Alexander Lavrik & Anna Lavrik & George Buslaev, 2022. "Gas-Fueled Binary Energy System with Low-Boiling Working Fluid for Enhanced Power Generation," Energies, MDPI, vol. 15(7), pages 1-15, March.

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