IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i5p1949-d765982.html
   My bibliography  Save this article

The Circulating Current Reduction Control Method for Asynchronous Carrier Phases of Parallel Connected Inverters

Author

Listed:
  • Seung-Yong Lee

    (School of Electronic and Electrical Engineering, IT College, Kyungpook National University, Daegu 41566, Korea)

  • Jae-Jung Jung

    (School of Electronic and Electrical Engineering, IT College, Kyungpook National University, Daegu 41566, Korea)

Abstract

Parallel operation of inverters is one of the most effective and representative ways to increase system capacity. However, zero-sequence circulating currents occur due to the practical deviations of components constituting individual inverters in case of parallel connected inverters in which a common direct current (DC) or alternating current (AC) bus is shared. In particular, circulating currents of the high-frequency component as well as those of the low-frequency component are generated due to the asynchronization of the carriers of individual inverters. In order to suppress the circulating currents as such, the phases of the carriers should be shifted as much as the phase errors between the carriers to compensate for the phase errors. A difficulty in this phase compensation control is that when there are several pulse-width modulation (PWM) carriers, it is impossible to identify the phase of each carrier. In this paper, to overcome the problem, a method to specify the position of one of the many carriers and control the carriers and compensate for phase errors based on the relevant phase was proposed. In addition, this paper includes the analysis of circulating currents generated in the case of carrier phase errors and proposes a method to identify carrier phase errors and compensate for the relevant errors. The proposed method was verified through simulations and experiments.

Suggested Citation

  • Seung-Yong Lee & Jae-Jung Jung, 2022. "The Circulating Current Reduction Control Method for Asynchronous Carrier Phases of Parallel Connected Inverters," Energies, MDPI, vol. 15(5), pages 1-22, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:5:p:1949-:d:765982
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/5/1949/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/5/1949/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Prudhvi Kumar Gorijeevaram Reddy & Sattianadan Dasarathan & Vijayakumar Krishnasamy, 2021. "Investigation of Adaptive Droop Control Applied to Low-Voltage DC Microgrid," Energies, MDPI, vol. 14(17), pages 1-20, August.
    2. Bilal Naji Alhasnawi & Basil H. Jasim & Walid Issa & Amjad Anvari-Moghaddam & Frede Blaabjerg, 2020. "A New Robust Control Strategy for Parallel Operated Inverters in Green Energy Applications," Energies, MDPI, vol. 13(13), pages 1-31, July.
    3. Silpa Baburajan & Haoran Wang & Dinesh Kumar & Qian Wang & Frede Blaabjerg, 2021. "DC-Link Current Harmonic Mitigation via Phase-Shifting of Carrier Waves in Paralleled Inverter Systems," Energies, MDPI, vol. 14(14), pages 1-17, July.
    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. Li Zeng & Tian Xia & Salah K. Elsayed & Mahrous Ahmed & Mostafa Rezaei & Kittisak Jermsittiparsert & Udaya Dampage & Mohamed A. Mohamed, 2021. "A Novel Machine Learning-Based Framework for Optimal and Secure Operation of Static VAR Compensators in EAFs," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    2. Bilal Naji Alhasnawi & Basil H. Jasim & Arshad Naji Alhasnawi & Bishoy E. Sedhom & Ali M. Jasim & Azam Khalili & Vladimír Bureš & Alessandro Burgio & Pierluigi Siano, 2022. "A Novel Approach to Achieve MPPT for Photovoltaic System Based SCADA," Energies, MDPI, vol. 15(22), pages 1-29, November.
    3. Bilal Naji Alhasnawi & Basil H. Jasim & Pierluigi Siano & Josep M. Guerrero, 2021. "A Novel Real-Time Electricity Scheduling for Home Energy Management System Using the Internet of Energy," Energies, MDPI, vol. 14(11), pages 1-29, May.
    4. Sultan Alghamdi & Hatem F. Sindi & Ahmed Al-Durra & Abdullah Ali Alhussainy & Muhyaddin Rawa & Hossam Kotb & Kareem M. AboRas, 2022. "Reduction in Voltage Harmonics of Parallel Inverters Based on Robust Droop Controller in Islanded Microgrid," Mathematics, MDPI, vol. 11(1), pages 1-30, December.
    5. Muhammad Awais & Abdul Rehman Yasin & Mudassar Riaz & Bilal Saqib & Saba Zia & Amina Yasin, 2021. "Robust Sliding Mode Control of a Unipolar Power Inverter," Energies, MDPI, vol. 14(17), pages 1-15, August.
    6. Wilson Pavon & Esteban Inga & Silvio Simani & Maddalena Nonato, 2021. "A Review on Optimal Control for the Smart Grid Electrical Substation Enhancing Transition Stability," Energies, MDPI, vol. 14(24), pages 1-15, December.
    7. Bilal Naji Alhasnawi & Basil H. Jasim & Bishoy E. Sedhom & Eklas Hossain & Josep M. Guerrero, 2021. "A New Decentralized Control Strategy of Microgrids in the Internet of Energy Paradigm," Energies, MDPI, vol. 14(8), pages 1-34, April.
    8. Yalin Liang & Yuyao He & Yun Niu, 2022. "Robust Errorless-Control-Targeted Technique Based on MPC for Microgrid with Uncertain Electric Vehicle Energy Storage Systems," Energies, MDPI, vol. 15(4), pages 1-23, February.
    9. Ali M. Jasim & Basil H. Jasim & Habib Kraiem & Aymen Flah, 2022. "A Multi-Objective Demand/Generation Scheduling Model-Based Microgrid Energy Management System," Sustainability, MDPI, vol. 14(16), pages 1-28, August.
    10. Bilal Naji Alhasnawi & Basil H. Jasim & Zain-Aldeen S. A. Rahman & Josep M. Guerrero & M. Dolores Esteban, 2021. "A Novel Internet of Energy Based Optimal Multi-Agent Control Scheme for Microgrid including Renewable Energy Resources," IJERPH, MDPI, vol. 18(15), pages 1-24, July.
    11. Ali M. Jasim & Basil H. Jasim & Bogdan-Constantin Neagu & Simo Attila, 2023. "Electric Vehicle Battery-Connected Parallel Distribution Generators for Intelligent Demand Management in Smart Microgrids," Energies, MDPI, vol. 16(6), pages 1-29, March.
    12. Yuko Hirase & Kazusa Uezaki & Dai Orihara & Hiroshi Kikusato & Jun Hashimoto, 2021. "Characteristic Analysis and Indexing of Multimachine Transient Stabilization Using Virtual Synchronous Generator Control," Energies, MDPI, vol. 14(2), pages 1-23, January.
    13. Bilal Naji Alhasnawi & Basil H. Jasim & M. Dolores Esteban, 2020. "A New Robust Energy Management and Control Strategy for a Hybrid Microgrid System Based on Green Energy," Sustainability, MDPI, vol. 12(14), pages 1-28, July.

    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:5:p:1949-:d:765982. 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.