IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i2p474-d481975.html
   My bibliography  Save this article

Analysis of Subsynchronous Torsional of Wind–Thermal Bundled System Transmitted via HVDC Based on Signal Injection Method

Author

Listed:
  • Junxi Wang

    (Ministry of Education Key Laboratory of Modern Power System Simulation Control and Green Power Technology, Northeast Electric Power University, Jilin 132012, China)

  • Qi Jia

    (Ministry of Education Key Laboratory of Modern Power System Simulation Control and Green Power Technology, Northeast Electric Power University, Jilin 132012, China)

  • Gangui Yan

    (Ministry of Education Key Laboratory of Modern Power System Simulation Control and Green Power Technology, Northeast Electric Power University, Jilin 132012, China)

  • Kan Liu

    (Ministry of Education Key Laboratory of Modern Power System Simulation Control and Green Power Technology, Northeast Electric Power University, Jilin 132012, China)

  • Dan Wang

    (Ministry of Education Key Laboratory of Modern Power System Simulation Control and Green Power Technology, Northeast Electric Power University, Jilin 132012, China)

Abstract

With the development of large-scale new energy, the wind–thermal bundled system transmitted via high-voltage direct current (HVDC) has become the main method to solve the problem of wind power consumption. At the same time, the problem of subsynchronous oscillation among wind power generators, high-voltage direct current (HVDC), and synchronous generators (SGs) has become increasingly prominent. According to the dynamic interaction among doubly fed induction generators (DFIGs), HVDC, and SGs, a linearization model of DFIGs and SGs transmitted via HVDC is established, and the influence of the electromagnetic transient of wind turbines and HVDC on the electromechanical transient processes of SGs is studied. Using the method of additional excitation signal injection, the influence of the main factors of DFIG on the damping characteristics of each torsional mode of SG is analyzed, including control parameters and operation conditions when the capacity of HVDC is fixed. The mechanism of the negative damping torsional of SGs is identified. A time-domain simulation model is built in Electromagnetic Transients including DC/Power Systems Computer Aided Design (EMTDC/PSCAD) to verify the correctness and effectiveness of the theoretical analysis.

Suggested Citation

  • Junxi Wang & Qi Jia & Gangui Yan & Kan Liu & Dan Wang, 2021. "Analysis of Subsynchronous Torsional of Wind–Thermal Bundled System Transmitted via HVDC Based on Signal Injection Method," Energies, MDPI, vol. 14(2), pages 1-21, January.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:2:p:474-:d:481975
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/2/474/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/2/474/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Joselin Herbert, G.M. & Iniyan, S. & Sreevalsan, E. & Rajapandian, S., 2007. "A review of wind energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(6), pages 1117-1145, August.
    2. Yanfeng Ma & Jia Liu & Haihang Liu & Shuqiang Zhao, 2018. "Active-Reactive Additional Damping Control of a Doubly-Fed Induction Generator Based on Active Disturbance Rejection Control," Energies, MDPI, vol. 11(5), pages 1-18, May.
    3. Shair, Jan & Xie, Xiaorong & Wang, Luping & Liu, Wei & He, Jingbo & Liu, Hui, 2019. "Overview of emerging subsynchronous oscillations in practical wind power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 99(C), pages 159-168.
    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. Shaojian Song & Peichen Guan & Bin Liu & Yimin Lu & Huihwang Goh, 2021. "Impedance Modeling and Stability Analysis of DFIG-Based Wind Energy Conversion System Considering Frequency Coupling," Energies, MDPI, vol. 14(11), pages 1-22, June.
    2. Leijon, Mats & Skoglund, Annika & Waters, Rafael & Rehn, Alf & Lindahl, Marcus, 2010. "On the physics of power, energy and economics of renewable electric energy sources – Part I," Renewable Energy, Elsevier, vol. 35(8), pages 1729-1734.
    3. Laura Canale & Anna Rita Di Fazio & Mario Russo & Andrea Frattolillo & Marco Dell’Isola, 2021. "An Overview on Functional Integration of Hybrid Renewable Energy Systems in Multi-Energy Buildings," Energies, MDPI, vol. 14(4), pages 1-33, February.
    4. Moura Carneiro, F.O. & Barbosa Rocha, H.H. & Costa Rocha, P.A., 2013. "Investigation of possible societal risk associated with wind power generation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 30-36.
    5. Dixon, Christopher & Reynolds, Steve & Rodley, David, 2016. "Micro/small wind turbine power control for electrolysis applications," Renewable Energy, Elsevier, vol. 87(P1), pages 182-192.
    6. Chandel, S.S. & Ramasamy, P. & Murthy, K.S.R, 2014. "Wind power potential assessment of 12 locations in western Himalayan region of India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 530-545.
    7. Alobaid, Falah & Karner, Karl & Belz, Jörg & Epple, Bernd & Kim, Hyun-Gee, 2014. "Numerical and experimental study of a heat recovery steam generator during start-up procedure," Energy, Elsevier, vol. 64(C), pages 1057-1070.
    8. Hua Li & Zhen Wang & Binbin Shan & Lingling Li, 2022. "Research on Multi-Step Prediction of Short-Term Wind Power Based on Combination Model and Error Correction," Energies, MDPI, vol. 15(22), pages 1-21, November.
    9. Eissa (SIEEE), M.M., 2015. "Protection techniques with renewable resources and smart grids—A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1645-1667.
    10. K. Padmanathan & N. Kamalakannan & P. Sanjeevikumar & F. Blaabjerg & J. B. Holm-Nielsen & G. Uma & R. Arul & R. Rajesh & A. Srinivasan & J. Baskaran, 2019. "Conceptual Framework of Antecedents to Trends on Permanent Magnet Synchronous Generators for Wind Energy Conversion Systems," Energies, MDPI, vol. 12(13), pages 1-39, July.
    11. Xusheng Shen & Tao Xie & Tianzhen Wang, 2020. "A Fuzzy Adaptative Backstepping Control Strategy for Marine Current Turbine under Disturbances and Uncertainties," Energies, MDPI, vol. 13(24), pages 1-16, December.
    12. Breen, Benjamin & Vega, Amaya & Feo-Valero, Maria, 2015. "An empirical analysis of mode and route choice for international freight transport in Ireland," Working Papers 262587, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    13. Kolesnik, Sergei & Sitbon, Moshe & Gadelovits, Shlomo & Suntio, Teuvo & Kuperman, Alon, 2015. "Interfacing renewable energy sources for maximum power transfer—Part II: Dynamics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1771-1783.
    14. Alam, Md. Mahbub & Rehman, Shafiqur & Meyer, Josua P. & Al-Hadhrami, Luai M., 2011. "Review of 600–2500kW sized wind turbines and optimization of hub height for maximum wind energy yield realization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3839-3849.
    15. Xu, Jin & Zhang, Lei & Li, Xue & Li, Shuang & Yang, Ke, 2020. "A study of dynamic response of a wind turbine blade based on the multi-body dynamics method," Renewable Energy, Elsevier, vol. 155(C), pages 358-368.
    16. Li, Gong & Shi, Jing, 2012. "Applications of Bayesian methods in wind energy conversion systems," Renewable Energy, Elsevier, vol. 43(C), pages 1-8.
    17. Burgaç, Alper & Yavuz, Hakan, 2019. "Fuzzy Logic based hybrid type control implementation of a heaving wave energy converter," Energy, Elsevier, vol. 170(C), pages 1202-1214.
    18. Defne, Zafer & Haas, Kevin A. & Fritz, Hermann M., 2011. "GIS based multi-criteria assessment of tidal stream power potential: A case study for Georgia, USA," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(5), pages 2310-2321, June.
    19. Vieira, Filipe & Ramos, Helena M., 2009. "Optimization of operational planning for wind/hydro hybrid water supply systems," Renewable Energy, Elsevier, vol. 34(3), pages 928-936.
    20. Aliyu, Abubakar Sadiq & Dada, Joseph O. & Adam, Ibrahim Khalil, 2015. "Current status and future prospects of renewable energy in Nigeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 336-346.

    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:14:y:2021:i:2:p:474-:d:481975. 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.