IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i13p5590-d1425728.html
   My bibliography  Save this article

Enhanced Adaptive Dynamic Surface Sliding Mode Control for Optimal Performance of Grid-Connected Photovoltaic Systems

Author

Listed:
  • Hashim Alnami

    (Department of Electrical and Electronic Engineering, College of Engineering and Computer Science, Jazan University, P.O. Box 114, Jazan 45142, Saudi Arabia)

  • Sultan H. Hakmi

    (Department of Electrical and Electronic Engineering, College of Engineering and Computer Science, Jazan University, P.O. Box 114, Jazan 45142, Saudi Arabia)

  • Saad A. Mohamed Abdelwahab

    (Electrical Department, Faculty of Technology and Education, Suez University, Suez 43221, Egypt)

  • Walid S. E. Abdellatif

    (Electrical Department, Faculty of Technology and Education, Suez University, Suez 43221, Egypt)

  • Hossam Youssef Hegazy

    (Electrical Department, Faculty of Technology and Education, Helwan University, Helwan 11795, Egypt)

  • Wael I. Mohamed

    (Electrical Department, Faculty of Technology and Education, Helwan University, Helwan 11795, Egypt)

  • Moayed Mohamed

    (Electrical Department, Faculty of Technology and Education, Sohag University, Sohag 82524, Egypt)

Abstract

This study presents an enhanced, adaptive, and dynamic surface sliding mode control (SMC), a cutting-edge method for improving grid-connected photovoltaic (PV) system performance. The suggested control approach uses dynamic SMC and adaptive approaches to enhance the robustness and efficiency of a system. Proportional–integral (PI) and SMC, two control systems for maximum power point tracking (MPPT) in PV systems, are compared in this paper. This study finds that the SMC system is a more effective and efficient MPPT approach for PV systems compared to the conventional PI control system. The SMC system’s unique feature is the capacity to stabilize grid voltage and attain a modulation index of less than one. An important component of power electronic system control is the index, which acts as a parameter representing the relationship between the output signal’s amplitude and the reference signal’s amplitude. The SMC method demonstrates improved robustness, efficiency, and stability, especially in dynamic operating settings with load and solar radiation changes. Compared to the PI control, the SMC exhibits a noteworthy 75% reduction in voltage fluctuations and an improvement in the power output of 5% to 10%. Regarding output power optimization, voltage stability, and accurate current tracking, the SMC system performs better than the PI control system. Furthermore, the SMC technique maintains a modulation index below one and guarantees grid voltage stability, both of which are essential for the efficiency and stability of power electrical systems.

Suggested Citation

  • Hashim Alnami & Sultan H. Hakmi & Saad A. Mohamed Abdelwahab & Walid S. E. Abdellatif & Hossam Youssef Hegazy & Wael I. Mohamed & Moayed Mohamed, 2024. "Enhanced Adaptive Dynamic Surface Sliding Mode Control for Optimal Performance of Grid-Connected Photovoltaic Systems," Sustainability, MDPI, vol. 16(13), pages 1-25, June.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:13:p:5590-:d:1425728
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/13/5590/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/13/5590/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Slim Abid & Ali M. El-Rifaie & Mostafa Elshahed & Ahmed R. Ginidi & Abdullah M. Shaheen & Ghareeb Moustafa & Mohamed A. Tolba, 2023. "Development of Slime Mold Optimizer with Application for Tuning Cascaded PD-PI Controller to Enhance Frequency Stability in Power Systems," Mathematics, MDPI, vol. 11(8), pages 1-32, April.
    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. Mokhtar Aly & Emad A. Mohamed & Abdullah M. Noman & Emad M. Ahmed & Fayez F. M. El-Sousy & Masayuki Watanabe, 2023. "Optimized Non-Integer Load Frequency Control Scheme for Interconnected Microgrids in Remote Areas with High Renewable Energy and Electric Vehicle Penetrations," Mathematics, MDPI, vol. 11(9), pages 1-31, April.
    2. Nader M. A. Ibrahim & Hossam E. A. Talaat & Abdullah M. Shaheen & Bassam A. Hemade, 2023. "Optimization of Power System Stabilizers Using Proportional-Integral-Derivative Controller-Based Antlion Algorithm: Experimental Validation via Electronics Environment," Sustainability, MDPI, vol. 15(11), pages 1-31, June.

    More about this item

    Keywords

    PV system; MPPT; PI control; SMC;
    All these keywords.

    Statistics

    Access and download statistics

    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:jsusta:v:16:y:2024:i:13:p:5590-:d:1425728. 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.