IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v7y2014i5p3086-3103d35745.html
   My bibliography  Save this article

An Optimal Reactive Power Control Strategy for a DFIG-Based Wind Farm to Damp the Sub-Synchronous Oscillation of a Power System

Author

Listed:
  • Bin Zhao

    (State Key Laboratory of Power Transmission Equipment and System Security and New Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China
    Sichuan Electric Vocational and Technical College, Chengdu 610072, China)

  • Hui Li

    (State Key Laboratory of Power Transmission Equipment and System Security and New Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Mingyu Wang

    (State Key Laboratory of Power Transmission Equipment and System Security and New Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Yaojun Chen

    (State Key Laboratory of Power Transmission Equipment and System Security and New Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Shengquan Liu

    (State Key Laboratory of Power Transmission Equipment and System Security and New Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Dong Yang

    (State Key Laboratory of Power Transmission Equipment and System Security and New Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Chao Yang

    (State Key Laboratory of Power Transmission Equipment and System Security and New Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Yaogang Hu

    (State Key Laboratory of Power Transmission Equipment and System Security and New Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Zhe Chen

    (Institute of Energy Technology, Aalborg University, Aalborg East DK-9220, Denmark)

Abstract

This study presents the auxiliary damping control with the reactive power loop on the rotor-side converter of doubly-fed induction generator (DFIG)-based wind farms to depress the sub-synchronous resonance oscillations in nearby turbogenerators. These generators are connected to a series capacitive compensation transmission system. First, the damping effect of the reactive power control of the DFIG-based wind farms was theoretically analyzed, and a transfer function between turbogenerator speed and the output reactive power of the wind farms was introduced to derive the analytical expression of the damping coefficient. The phase range to obtain positive damping was determined. Second, the PID phase compensation parameters of the auxiliary damping controller were optimized by a genetic algorithm to obtain the optimum damping in the entire subsynchronous frequency band. Finally, the validity and effectiveness of the proposed auxiliary damping control were demonstrated on a modified version of the IEEE first benchmark model by time domain simulation analysis with the use of DigSILENT/PowerFactory. Theoretical analysis and simulation results show that this derived damping factor expression and the condition of the positive damping can effectively analyze their impact on the system sub-synchronous oscillations, the proposed wind farms reactive power additional damping control strategy can provide the optimal damping effect over the whole sub-synchronous frequency band, and the control effect is better than the active power additional damping control strategy based on the power system stabilizator.

Suggested Citation

  • Bin Zhao & Hui Li & Mingyu Wang & Yaojun Chen & Shengquan Liu & Dong Yang & Chao Yang & Yaogang Hu & Zhe Chen, 2014. "An Optimal Reactive Power Control Strategy for a DFIG-Based Wind Farm to Damp the Sub-Synchronous Oscillation of a Power System," Energies, MDPI, vol. 7(5), pages 1-18, May.
    • Handle: RePEc:gam:jeners:v:7:y:2014:i:5:p:3086-3103:d:35745
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/7/5/3086/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/7/5/3086/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zaijun Wu & Chanxia Zhu & Minqiang Hu, 2012. "Supplementary Controller Design for SSR Damping in a Series-Compensated DFIG-Based Wind Farm," Energies, MDPI, vol. 5(11), pages 1-16, November.
    2. Hansen, Anca D. & Sørensen, Poul & Iov, Florin & Blaabjerg, Frede, 2006. "Centralised power control of wind farm with doubly fed induction generators," Renewable Energy, Elsevier, vol. 31(7), pages 935-951.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Henda Zorgani Agrebi & Naourez Benhadj & Mohamed Chaieb & Farooq Sher & Roua Amami & Rafik Neji & Neil Mansfield, 2021. "Integrated Optimal Design of Permanent Magnet Synchronous Generator for Smart Wind Turbine Using Genetic Algorithm," Energies, MDPI, vol. 14(15), pages 1-20, July.
    2. Baohua Zhang & Weihao Hu & Peng Hou & Jin Tan & Mohsen Soltani & Zhe Chen, 2017. "Review of Reactive Power Dispatch Strategies for Loss Minimization in a DFIG-based Wind Farm," Energies, MDPI, vol. 10(7), pages 1-17, June.
    3. Luis Hernández-Callejo, 2019. "A Comprehensive Review of Operation and Control, Maintenance and Lifespan Management, Grid Planning and Design, and Metering in Smart Grids," Energies, MDPI, vol. 12(9), pages 1-50, April.
    4. Giannakis, Andreas & Karlis, Athanasios & Karnavas, Yannis L., 2018. "A combined control strategy of a DFIG based on a sensorless power control through modified phase-locked loop and fuzzy logic controllers," Renewable Energy, Elsevier, vol. 121(C), pages 489-501.

    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. Sales-Setién, Ester & Peñarrocha-Alós, Ignacio, 2020. "Robust estimation and diagnosis of wind turbine pitch misalignments at a wind farm level," Renewable Energy, Elsevier, vol. 146(C), pages 1746-1765.
    2. Senjyu, Tomonobu & Kaneko, Toshiaki & Uehara, Akie & Yona, Atsushi & Sekine, Hideomi & Kim, Chul-Hwan, 2009. "Output power control for large wind power penetration in small power system," Renewable Energy, Elsevier, vol. 34(11), pages 2334-2343.
    3. Fernández, R.D. & Mantz, R.J. & Battaiotto, P.E., 2007. "Impact of wind farms on a power system. An eigenvalue analysis approach," Renewable Energy, Elsevier, vol. 32(10), pages 1676-1688.
    4. Li, Pengfei & Hu, Weihao & Hu, Rui & Huang, Qi & Yao, Jun & Chen, Zhe, 2019. "Strategy for wind power plant contribution to frequency control under variable wind speed," Renewable Energy, Elsevier, vol. 130(C), pages 1226-1236.
    5. Shi, Jie & Wang, Luhao & Lee, Wei-Jen & Cheng, Xingong & Zong, Xiju, 2019. "Hybrid Energy Storage System (HESS) optimization enabling very short-term wind power generation scheduling based on output feature extraction," Applied Energy, Elsevier, vol. 256(C).
    6. 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.
    7. Siniscalchi-Minna, Sara & Bianchi, Fernando D. & De-Prada-Gil, Mikel & Ocampo-Martinez, Carlos, 2019. "A wind farm control strategy for power reserve maximization," Renewable Energy, Elsevier, vol. 131(C), pages 37-44.
    8. Mohd Ashraf Ahmad & Shun-ichi Azuma & Toshiharu Sugie, 2014. "A Model-Free Approach for Maximizing Power Production of Wind Farm Using Multi-Resolution Simultaneous Perturbation Stochastic Approximation," Energies, MDPI, vol. 7(9), pages 1-23, August.
    9. Li, Qing'an & Wang, Ye & Kamada, Yasunari & Maeda, Takao & Xu, Jianzhong & Zhou, Shuni & Zhang, Fanghong & Cai, Chang, 2022. "Diagonal inflow effect on the wake characteristics of a horizontal axis wind turbine with Gaussian model and field measurements," Energy, Elsevier, vol. 238(PB).
    10. Fernandez, L.M. & Garcia, C.A. & Jurado, F., 2008. "Comparative study on the performance of control systems for doubly fed induction generator (DFIG) wind turbines operating with power regulation," Energy, Elsevier, vol. 33(9), pages 1438-1452.
    11. Uvini Perera & Amanullah Maung Than Oo & Ramon Zamora, 2022. "Sub Synchronous Oscillations under High Penetration of Renewables—A Review of Existing Monitoring and Damping Methods, Challenges, and Research Prospects," Energies, MDPI, vol. 15(22), pages 1-23, November.
    12. Amer Saeed, M. & Mehroz Khan, Hafiz & Ashraf, Arslan & Aftab Qureshi, Suhail, 2018. "Analyzing effectiveness of LVRT techniques for DFIG wind turbine system and implementation of hybrid combination with control schemes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2487-2501.
    13. Rodríguez-Amenedo, J.L. & Arnaltes, S. & Rodríguez, M.A., 2008. "Operation and coordinated control of fixed and variable speed wind farms," Renewable Energy, Elsevier, vol. 33(3), pages 406-414.
    14. Fernández, R.D. & Battaiotto, P.E. & Mantz, R.J., 2008. "Wind farm non-linear control for damping electromechanical oscillations of power systems," Renewable Energy, Elsevier, vol. 33(10), pages 2258-2265.
    15. Mohd Zin, Abdullah Asuhaimi B. & Pesaran H.A., Mahmoud & Khairuddin, Azhar B. & Jahanshaloo, Leila & Shariati, Omid, 2013. "An overview on doubly fed induction generators′ controls and contributions to wind based electricity generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 692-708.
    16. Jonas Kazda & Nicolaos Antonio Cutululis, 2018. "Fast Control-Oriented Dynamic Linear Model of Wind Farm Flow and Operation," Energies, MDPI, vol. 11(12), pages 1-19, November.
    17. Rui You & Braulio Barahona & Jianyun Chai & Nicolaos A. Cutululis, 2013. "A Novel Wind Turbine Concept Based on an Electromagnetic Coupler and the Study of Its Fault Ride-through Capability," Energies, MDPI, vol. 6(11), pages 1-17, November.
    18. Billy Muhando, Endusa & Senjyu, Tomonobu & Urasaki, Naomitsu & Yona, Atsushi & Kinjo, Hiroshi & Funabashi, Toshihisa, 2007. "Gain scheduling control of variable speed WTG under widely varying turbulence loading," Renewable Energy, Elsevier, vol. 32(14), pages 2407-2423.
    19. Kamel, Rashad M., 2016. "Standalone micro grid power quality improvement using inertia and power reserves of the wind generation systems," Renewable Energy, Elsevier, vol. 97(C), pages 572-584.
    20. Qi, Yongzhi & Liu, Yutian & Wu, Qiuwei, 2017. "Non-cooperative regulation coordination based on game theory for wind farm clusters during ramping events," Energy, Elsevier, vol. 132(C), pages 136-146.

    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:7:y:2014:i:5:p:3086-3103:d:35745. 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.