IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v256y2026ipas0960148125015496.html

Mini-hydropower plant based on asynchronized synchronous generators equipped with self-tuning predictive speed controllers

Author

Listed:
  • Bulatov, Yuri
  • Kryukov, Andrey
  • Suslov, Konstantin

Abstract

The integration of distributed generation into electric power systems requires advanced methods for control under normal, emergency, and post-emergency operating conditions. Distributed generation can rely on asynchronized synchronous generators (ASGs), which have advantages over synchronous machines. Their application however necessitates sophisticated automatic control systems. This study aims to identify the effects of a self-tuning predictive controller designed to control rotor speed of ASGs of the mini hydropower plant operating within the system for power supply to non-traction consumers of alternating current railway. The paper presents a diagram of the simulation model of the power system under study, which encompasses the mini hydropower plant based on ASGs. To improve the quality of electric power, a DC link is used for connection with the railway power system. The developed models of the ASG excitation system and self-tuning predictive speed controller are described. The method for determining the forecasting time is presented along with the modeling results for normal and emergency conditions of the power system at issue. The modeling results have proven the effectiveness of the proposed automatic speed controller, which exhibits the improved indicators of rotor speed and frequency control in the network. In the short-term remote short-circuit mode, compared to conventional automatic speed controllers, the use of the proposed controller allowed: to reduce the transient process time of the ASG rotor speed and network frequency by 33.3 %; to reduce the ASG rotor speed overshoot by 42.1 % and the frequency overshoot by 28.6 %; to improve the damping degree of the ASG rotor speed oscillations by 56 % and the network frequency by 52 %. After disconnecting a long-term remote short-circuit, the transient process time of the rotor speed decreases by 3.8 times, and for the network frequency - by 2.2 times; also, the maximum deviation of the ASG rotor speed decreases by 29 times. For voltage, a slight decrease in the dip in the long-term short-circuit mode can be noted.

Suggested Citation

  • Bulatov, Yuri & Kryukov, Andrey & Suslov, Konstantin, 2026. "Mini-hydropower plant based on asynchronized synchronous generators equipped with self-tuning predictive speed controllers," Renewable Energy, Elsevier, vol. 256(PA).
  • Handle: RePEc:eee:renene:v:256:y:2026:i:pa:s0960148125015496
    DOI: 10.1016/j.renene.2025.123885
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148125015496
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2025.123885?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Bulatov, Yu N. & Kryukov, A.V. & Suslov, K.V., 2022. "Group predictive voltage and frequency regulators for small hydro power plant in the context of low power quality," Renewable Energy, Elsevier, vol. 200(C), pages 571-578.
    2. Hogg, B.W. & Williams, D., 1973. "Simulation of an asynchronized synchronous machine," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 15(4), pages 159-167.
    3. Yuri Bulatov & Andrey Kryukov & Konstantin Suslov, 2022. "Using Group Predictive Voltage and Frequency Regulators of Distributed Generation Plants in Cyber-Physical Power Supply Systems," Energies, MDPI, vol. 15(4), pages 1-20, February.
    4. Dmitriy N. Karamov & Pavel V. Ilyushin & Konstantin V. Suslov, 2022. "Electrification of Rural Remote Areas Using Renewable Energy Sources: Literature Review," Energies, MDPI, vol. 15(16), pages 1-13, 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. Hayibo, Koami Soulemane & Jamil, Uzair & Pearce, Joshua M., 2025. "Additional value of non-electricity generating services (co-benefits) provided by non-conventional dual use solar photovoltaic systems: A PRISMA review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 222(C).
    2. Andrey Achitaev & Pavel Ilyushin & Konstantin Suslov & Sergey Kobyletski, 2022. "Dynamic Simulation of Starting and Emergency Conditions of a Hydraulic Unit Based on a Francis Turbine," Energies, MDPI, vol. 15(21), pages 1-18, October.
    3. Stefano Bigiotti & Mariangela Ludovica Santarsiero & Carlo Costantino & Alvaro Marucci, 2025. "Photovoltaic Technology and Rural Landscapes: A Systematic Literature Review on Challenges and Sustainable Integration," Energies, MDPI, vol. 18(8), pages 1-54, April.
    4. Jahangeer Khan Bhutto & Zhijun Tong & Tayyab Raza Fraz & Mazhar Baloch & Haider Ali & Jiquan Zhang & Xingpeng Liu & Yousef A. Al-Masnay, 2025. "A Feasibility Analysis of Wind Energy Potential and Seasonal Forecasting Trends in Thatta District: A Project to Combat the Energy Crisis in Pakistan," Energies, MDPI, vol. 18(1), pages 1-21, January.
    5. Truijen, Daan P.K. & Ansorena Ruiz, Ruben & Hoffstaedt, Justus & Schürenkamp, David & Goseberg, Nils & Jarquin Laguna, Antonio & Stockman, Kurt & De Kooning, Jeroen D.M., 2025. "Dynamic power response shaping using adaptive constraints in feedback control of a contra-rotating pump–turbine," Energy, Elsevier, vol. 331(C).
    6. Yin Chen & Zhenli Tang & Xiaofeng Weng & Min He & Guanghong Zhang & Ding Yuan & Tao Jin, 2024. "A Novel Approach for Evaluating Power Quality in Distributed Power Distribution Networks Using AHP and S-Transform," Energies, MDPI, vol. 17(2), pages 1-20, January.
    7. Paweł Kut & Katarzyna Pietrucha-Urbanik, 2022. "Most Searched Topics in the Scientific Literature on Failures in Photovoltaic Installations," Energies, MDPI, vol. 15(21), pages 1-14, October.
    8. Hiramani Shukla & Srete Nikolovski & More Raju & Ankur Singh Rana & Pawan Kumar, 2022. "A Particle Swarm Optimization Technique Tuned TID Controller for Frequency and Voltage Regulation with Penetration of Electric Vehicles and Distributed Generations," Energies, MDPI, vol. 15(21), pages 1-32, November.
    9. Andrey Kryukov & Konstantin Suslov & Pavel Ilyushin & Azat Akhmetshin, 2023. "Parameter Identification of Asynchronous Load Nodes," Energies, MDPI, vol. 16(4), pages 1-18, February.
    10. Bulatov, Yu N. & Kryukov, A.V. & Suslov, K.V., 2022. "Group predictive voltage and frequency regulators for small hydro power plant in the context of low power quality," Renewable Energy, Elsevier, vol. 200(C), pages 571-578.
    11. Lina María Riaño-Enciso & Brandon Cortés-Caicedo & Oscar Danilo Montoya & Luis Fernando Grisales-Noreña & Jesús C. Hernández, 2025. "Sustainable Metaheuristic-Based Planning of Rural Medium- Voltage Grids: A Comparative Study of Spanning and Steiner Tree Topologies for Cost-Efficient Electrification," Sustainability, MDPI, vol. 17(18), pages 1-39, 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:eee:renene:v:256:y:2026:i:pa:s0960148125015496. 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/renewable-energy .

    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.