IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v224y2024ipbp148-164.html
   My bibliography  Save this article

Decoupled average model-based sliding mode current control of LC-filtered inverters in rotating frame

Author

Listed:
  • Hoang, Quang-Manh
  • Nguyễn, Bảo-Huy
  • Vo-Duy, Thanh
  • Trovão, João Pedro F.
  • Ta, Minh C.

Abstract

Recently, LC-filtered inverter has been a trendy research object towards the efficient exploitation and use of sustainable energy sources. The nested control scheme of the system includes a voltage control loop and a current one, which can be developed on the rotating frame. The conventional PI controller is employed for the outer loop voltage controller and it performs effectively. However, the PI current controller introduces delay to the system and overshoot occurs frequently due to the influence of nonlinear load. This paper proposes a novel method of decoupled average model-based sliding mode current control performing faster response and better tracking performance of the desired current. Besides, the comprehensive model of the nonlinear load is applied to examine the robustness of the proposed control scheme. This method is developed on the average model, fixed-frequency PWM can therefore be used to modulate the inverter. The novel method is compared with a conventional PI current controller. Offline simulation on MATLAB/Simulink and real-time simulation using Opal-RT experimental platform prove the advantages of the proposed current controller considering critical scenarios with the nonlinear load.

Suggested Citation

  • Hoang, Quang-Manh & Nguyễn, Bảo-Huy & Vo-Duy, Thanh & Trovão, João Pedro F. & Ta, Minh C., 2024. "Decoupled average model-based sliding mode current control of LC-filtered inverters in rotating frame," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 224(PB), pages 148-164.
  • Handle: RePEc:eee:matcom:v:224:y:2024:i:pb:p:148-164
    DOI: 10.1016/j.matcom.2023.11.038
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475423005499
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.matcom.2023.11.038?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Rizo, Mario & Liserre, Marco & Bueno, Emilio & Rodríguez, Francisco J. & Huerta, Francisco, 2013. "Universal wind turbine working in grid-connected and island operating modes," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 91(C), pages 41-51.
    2. Xiao, Qi & Mattavelli, Paolo & Khodamoradi, Aram & Loh, Poh Chiang, 2021. "Modelling and analysis of equivalent SISO d-q impedance of grid-connected converters," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 184(C), pages 5-20.
    3. Ourahou, M. & Ayrir, W. & EL Hassouni, B. & Haddi, A., 2020. "Review on smart grid control and reliability in presence of renewable energies: Challenges and prospects," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 167(C), pages 19-31.
    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. Burak Esenboğa & Tuğçe Demirdelen, 2022. "Soft-Switching Smart Transformer Design and Application for Photovoltaic Integrated Smart City Power Distribution," Sustainability, MDPI, vol. 15(1), pages 1-27, December.
    2. Gairaa, Kacem & Voyant, Cyril & Notton, Gilles & Benkaciali, Saïd & Guermoui, Mawloud, 2022. "Contribution of ordinal variables to short-term global solar irradiation forecasting for sites with low variabilities," Renewable Energy, Elsevier, vol. 183(C), pages 890-902.
    3. Muhammad Arshad Shehzad Hassan & Ussama Assad & Umar Farooq & Asif Kabir & Muhammad Zeeshan Khan & S. Sabahat H. Bukhari & Zain ul Abidin Jaffri & Judit Oláh & József Popp, 2022. "Dynamic Price-Based Demand Response through Linear Regression for Microgrids with Renewable Energy Resources," Energies, MDPI, vol. 15(4), pages 1-17, February.
    4. David Marroqui & Ausias Garrigós & Cristian Torres & Carlos Orts & Jose M. Blanes & Roberto Gutierrez, 2021. "Interleaved, Switched Inductor and High-Gain Wide Bandgap Based Boost Converter Proposal," Energies, MDPI, vol. 14(4), pages 1-11, February.
    5. Sahebi, Iman Ghasemian & Mosayebi, Alireza & Masoomi, Behzad & Marandi, Fatemeh, 2022. "Modeling the enablers for blockchain technology adoption in renewable energy supply chain," Technology in Society, Elsevier, vol. 68(C).
    6. Artur Felipe da Silva Veloso & José Valdemir Reis Júnior & Ricardo de Andrade Lira Rabelo & Jocines Dela-flora Silveira, 2021. "HyDSMaaS: A Hybrid Communication Infrastructure with LoRaWAN and LoraMesh for the Demand Side Management as a Service," Future Internet, MDPI, vol. 13(11), pages 1-45, October.
    7. Asuamah Yeboah, Samuel, 2023. "Empowering Sustainable Consumption: Harnessing the Potential of Smart Grid Systems and Internet of Things for Environmental Conservation," MPRA Paper 117978, University Library of Munich, Germany, revised 29 May 2023.
    8. Gawusu, Sidique, 2024. "Evolving energy landscapes: A computational analysis of the determinants of energy poverty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 202(C).
    9. Zhenghao Wang & Yonghui Liu & Zihao Yang & Wanhao Yang, 2021. "Load Frequency Control of Multi-Region Interconnected Power Systems with Wind Power and Electric Vehicles Based on Sliding Mode Control," Energies, MDPI, vol. 14(8), pages 1-15, April.
    10. Sadik-Zada, Elkhan Richard & Gatto, Andrea & Weißnicht, Yannic, 2024. "Back to the future: Revisiting the perspectives on nuclear fusion and juxtaposition to existing energy sources," Energy, Elsevier, vol. 290(C).
    11. Hassan, Qusay & Khadom, Anees A. & Algburi, Sameer & Al-Jiboory, Ali Khudhair & Sameen, Aws Zuhair & Alkhafaji, Mohamed Ayad & Mahmoud, Haitham A. & Awwad, Emad Mahrous & Mahood, Hameed B. & Kazem, Hu, 2024. "Implications of a smart grid-integrated renewable distributed generation capacity expansion strategy: The case of Iraq," Renewable Energy, Elsevier, vol. 221(C).
    12. Mostafaeipour, Ali & Alvandimanesh, Marzieh & Najafi, Fatemeh & Issakhov, Alibek, 2021. "Identifying challenges and barriers for development of solar energy by using fuzzy best-worst method: A case study," Energy, Elsevier, vol. 226(C).
    13. Yohannes T. Aklilu & Jianguo Ding, 2021. "Survey on Blockchain for Smart Grid Management, Control, and Operation," Energies, MDPI, vol. 15(1), pages 1-26, December.
    14. Neves, Diana & Pina, André & Silva, Carlos A., 2015. "Demand response modeling: A comparison between tools," Applied Energy, Elsevier, vol. 146(C), pages 288-297.
    15. Tsao, Yu-Chung & Thanh, Vo-Van, 2021. "Toward blockchain-based renewable energy microgrid design considering default risk and demand uncertainty," Renewable Energy, Elsevier, vol. 163(C), pages 870-881.
    16. Bouthaina El Barkouki & Mohamed Laamim & Abdelilah Rochd & Jae-won Chang & Aboubakr Benazzouz & Mohammed Ouassaid & Moses Kang & Hakgeun Jeong, 2023. "An Economic Dispatch for a Shared Energy Storage System Using MILP Optimization: A Case Study of a Moroccan Microgrid," Energies, MDPI, vol. 16(12), pages 1-19, June.

    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:eee:matcom:v:224:y:2024:i:pb:p:148-164. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    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.