IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i22p8481-d971655.html
   My bibliography  Save this article

The Application of Tuned Inductors in Electric Power Systems

Author

Listed:
  • Michał Gwóźdź

    (Faculty of Control, Robotics and Electrical Engineering, Poznan University of Technology, Piotrowo 3A Street, 60-965 Poznan, Poland)

Abstract

This work focuses on the possibility of using a tuned inductor in electric power systems with adaptive features. The presented idea of inductor operation, using an interaction of the magnetic fluxes, is a new approach to designing such devices. Examples of power adaptive systems are devices for improving the quality of electricity. Therefore, various types of ‘compensators’ of reactive power (or both reactive and distortion power) are used in electrical systems as a preventive measure. The tuned inductor, presented in this work, offers wider possibilities for power compensation in electric systems, compared to the classic solutions of compensators based on fixed inductors. Another possible implementation of such an inductor solution is in static power electronic devices, installed in AC transmission grids to increase power transfer capability, stability, and controllability, through a series and/or shunt compensation. Nevertheless, the use of the proposed device in the aforementioned electric systems is only one example of the possible implementations in the power electronics area. In this work, the following issues are presented: exemplary solutions of compensators with the adaptive features, rules of the tuned inductor operation, test results of the 3D field model of the inductor, and test results of the laboratory model of the electric system with this device.

Suggested Citation

  • Michał Gwóźdź, 2022. "The Application of Tuned Inductors in Electric Power Systems," Energies, MDPI, vol. 15(22), pages 1-13, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:22:p:8481-:d:971655
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/22/8481/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/22/8481/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mihaela Popescu & Alexandru Bitoleanu & Mihaita Linca & Constantin Vlad Suru, 2021. "Improving Power Quality by a Four-Wire Shunt Active Power Filter: A Case Study," Energies, MDPI, vol. 14(7), pages 1-20, April.
    2. Sarah Saeed & Ramy Georgious & Jorge Garcia, 2020. "Modeling of Magnetic Elements Including Losses—Application to Variable Inductor," Energies, MDPI, vol. 13(8), pages 1-19, April.
    3. Yunhwan Lee & Hwachang Song, 2019. "A Reactive Power Compensation Strategy for Voltage Stability Challenges in the Korean Power System with Dynamic Loads," Sustainability, MDPI, vol. 11(2), pages 1-19, January.
    4. Łukasz Ciepliński & Michał Gwóźdź & Rafał M. Wojciechowski, 2022. "Application of a Tuned Inductor in a DC Power Supply with an Active Compensation Function," Energies, MDPI, vol. 15(17), pages 1-15, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Łukasz Ciepliński & Michał Gwóźdź & Rafał M. Wojciechowski, 2022. "Application of a Tuned Inductor in a DC Power Supply with an Active Compensation Function," Energies, MDPI, vol. 15(17), pages 1-15, August.
    2. Michał Gwóźdź, 2023. "The Application of Tunable Magnetic Devices in Electrical Power Systems with Adaptive Features," Energies, MDPI, vol. 16(17), pages 1-12, August.
    3. Miklós Kuczmann & Tamás Orosz, 2023. "Temperature-Dependent Ferromagnetic Loss Approximation of an Induction Machine Stator Core Material Based on Laboratory Test Measurements," Energies, MDPI, vol. 16(3), pages 1-17, January.
    4. Markel Zubiaga & Alain Sanchez-Ruiz & Eneko Olea & Eneko Unamuno & Aitor Bilbao & Joseba Arza, 2020. "Power Capability Boundaries for an Inverter Providing Multiple Grid Support Services," Energies, MDPI, vol. 13(17), pages 1-14, August.
    5. Guangming Xue & Hongbai Bai & Tuo Li & Zhiying Ren & Xingxing Liu & Chunhong Lu, 2022. "Numerical Solving Method for Jiles-Atherton Model and Influence Analysis of the Initial Magnetic Field on Hysteresis," Mathematics, MDPI, vol. 10(23), pages 1-16, November.
    6. Krzysztof Górecki & Kalina Detka, 2023. "SPICE-Aided Models of Magnetic Elements—A Critical Review," Energies, MDPI, vol. 16(18), pages 1-27, September.
    7. Daniele Scirè & Gianpaolo Vitale & Marco Ventimiglia & Giuseppe Lullo, 2021. "Non-Linear Inductors Characterization in Real Operating Conditions for Power Density Optimization in SMPS," Energies, MDPI, vol. 14(13), pages 1-19, June.
    8. Mir Sayed Shah Danish & Tomonobu Senjyu & Sayed Mir Shah Danish & Najib Rahman Sabory & Narayanan K & Paras Mandal, 2019. "A Recap of Voltage Stability Indices in the Past Three Decades," Energies, MDPI, vol. 12(8), pages 1-18, April.
    9. Nomihla Wandile Ndlela & Innocent Ewean Davidson, 2022. "Network Coordination between High-Voltage DC and High-Voltage AC Transmission Systems Using Flexible AC Transmission System Controllers," Energies, MDPI, vol. 15(19), pages 1-15, October.
    10. Dejana Herceg & Krzysztof Chwastek & Đorđe Herceg, 2020. "The Use of Hypergeometric Functions in Hysteresis Modeling," Energies, MDPI, vol. 13(24), pages 1-14, December.
    11. Ayesha Ali & Ateeq Ur Rehman & Ahmad Almogren & Elsayed Tag Eldin & Muhammad Kaleem, 2022. "Application of Deep Learning Gated Recurrent Unit in Hybrid Shunt Active Power Filter for Power Quality Enhancement," Energies, MDPI, vol. 15(20), pages 1-21, October.
    12. Abdullahi Oboh Muhammed & Muhyaddin Rawa, 2020. "A Systematic PVQV-Curves Approach for Investigating the Impact of Solar Photovoltaic-Generator in Power System Using PowerWorld Simulator," Energies, MDPI, vol. 13(10), pages 1-21, May.
    13. Naderipour, Amirreza & Abdul-Malek, Zulkurnain & Heidari Gandoman, Foad & Nowdeh, Saber Arabi & Shiran, Mohsen Aghazadeh & Hadidian Moghaddam, Mohammad Jafar & Davoodkhani, Iraj Faraji, 2020. "Optimal designing of static var compensator to improve voltage profile of power system using fuzzy logic control," Energy, Elsevier, vol. 192(C).
    14. Jibran Ali & Stefano Massucco & Federico Silvestro, 2019. "Aggregation Strategy for Reactive Power Compensation Techniques—Validation," Energies, MDPI, vol. 12(11), pages 1-13, May.
    15. Fabio Corti & Alberto Reatti & Gabriele Maria Lozito & Ermanno Cardelli & Antonino Laudani, 2021. "Influence of Non-Linearity in Losses Estimation of Magnetic Components for DC-DC Converters," Energies, MDPI, vol. 14(20), pages 1-16, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:22:p:8481-:d:971655. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.