IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i17p4653-d1740264.html
   My bibliography  Save this article

Mitigation of Subsynchronous Resonance in Doubly Fed Induction Generator Systems by Static Synchronous Compensator Using Fuzzy Logic

Author

Listed:
  • Luis Chicaiza

    (Universidad Politécnica Salesiana, Quito 170702, Ecuador
    Current address: Engineering Department, South Campus, Av. Rumichaca and Av. M. Valverde, Quito 170702, Ecuador.
    These authors contributed equally to this work.)

  • Luis Tipán

    (Electrical Engineering Department, Universidad Politécnica Salesiana, Quito 170702, Ecuador
    Current address: Engineering Department, South Campus, Av. Rumichaca and Av. M. Valverde, Quito 170702, Ecuador.
    These authors contributed equally to this work.)

  • Manuel Jaramillo

    (Electrical Engineering Department, Universidad Politécnica Salesiana, Quito 170702, Ecuador
    Current address: Engineering Department, South Campus, Av. Rumichaca and Av. M. Valverde, Quito 170702, Ecuador.)

  • Carlos Barrera-Singaña

    (Electrical Engineering Department, Universidad Politécnica Salesiana, Quito 170702, Ecuador
    Current address: Engineering Department, South Campus, Av. Rumichaca and Av. M. Valverde, Quito 170702, Ecuador.)

Abstract

This document focuses on the mitigation of subsynchronous resonance (SSR) in doubly fed induction generators (DFIGs) through the application of an effective solution based on the use of a Static Synchronous Compensator (STATCOM) with fuzzy logic. The STATCOM, a static parallel compensator, improved the stability, quality, and reliability of the power supply in distribution systems by optimizing the response to voltage fluctuations. Combined with fuzzy logic, it provided flexible and efficient control, reducing oscillations arising in the system. Two case studies were carried out in which the DFIG and the STATCOM module with fuzzy logic were implemented in IEEE 13- and IEEE 33-bus systems. Comparative analyses with and without compensation were performed to assess the system’s behavior in response to oscillations generated by the generator, taking voltages as the main variable. The results showed that the fuzzy–PI controlled STATCOM effectively stabilized voltage profiles, mitigating SSR and improving system reliability. In the IEEE 13-bus case, voltage oscillations were reduced by approximately 72% and the bus voltages converged to 0.99–1.01 p.u. within 1.5 s. In the IEEE 33-bus system, the controller achieved a suppression rate of 68%, with voltages restored to 0.98–1.02 p.u. in less than 2 s. These findings demonstrate the efficiency of the proposed fuzzy–PI STATCOM in suppressing subsynchronous oscillations and enhancing stability in DFIG-based networks.

Suggested Citation

  • Luis Chicaiza & Luis Tipán & Manuel Jaramillo & Carlos Barrera-Singaña, 2025. "Mitigation of Subsynchronous Resonance in Doubly Fed Induction Generator Systems by Static Synchronous Compensator Using Fuzzy Logic," Energies, MDPI, vol. 18(17), pages 1-26, September.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:17:p:4653-:d:1740264
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/17/4653/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/17/4653/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yaser Bostani & Saeid Jalilzadeh & Saleh Mobayen & Thaned Rojsiraphisal & Andrzej Bartoszewicz, 2022. "Damping of Subsynchronous Resonance in Utility DFIG-Based Wind Farms Using Wide-Area Fuzzy Control Approach," Energies, MDPI, vol. 15(5), pages 1-15, February.
    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. Mohamed Abd-El-Hakeem Mohamed & Hossam Seddik Abbas & Mokhtar Shouran & Salah Kamel, 2022. "A Neuro-Predictive Controller Scheme for Integration of a Basic Wind Energy Generation Unit with an Electrical Power System," Energies, MDPI, vol. 15(16), pages 1-24, August.
    2. Qiuzhen Wang & Jiangping Hu, 2023. "Modeling and Control of Wide-Area Networks," Mathematics, MDPI, vol. 11(18), pages 1-24, September.

    More about this item

    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:jeners:v:18:y:2025:i:17:p:4653-:d:1740264. 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.