IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v12y2021i6d10.1007_s13198-021-01365-8.html
   My bibliography  Save this article

Impacts of wind farms with multi-terminal HVDC system in frequency regulation using quasi-opposition pathfinder algorithm

Author

Listed:
  • Abhishek Saxena

    (National Institute of Technology Patna)

  • Chandan Kumar Shiva

    (SR University Warangal)

  • Ravi Shankar

    (National Institute of Technology Patna)

  • B. Vedik

    (SR University Warangal)

Abstract

As new technology is evolving and wind energy penetration is increasing in the grid integrated power system, the research of system frequency stabilization is becoming increasingly vital. This is due to variable-speed wind turbine stochastic behaviour, which results in unmanageable wind power and unexpected load demand. The frequency control services provided by a wind farm connected via a high voltage direct current link are analyzed in this article. The two-area power system is used as a test system to evaluate the power system's dynamic performance. Reheat thermal, hydro, gas, nuclear plant, and wind farm connected via the HVDC system are in the test system. Significant restrictions such as time delay, governor dead-band, and generation rate constraint are included in the load frequency control study. Using a HVDC system, the impacts of wind farms is studied in LFC system. The suggested method uses LFC to account for the wind farm's inertia and droop technique. The gain parameters of the proportional-integral-derivative controller are optimised using three optimization techniques for the LFC model design i.e., a quasi-opposition pathfinder algorithm, moth-flame optimization algorithm, and water cycle algorithm. QOPFA is determined to be more successful in the LFC problem in the study. Moreover, the improved results clearly demonstrate the significance of wind farm, reflecting a better system dynamics.

Suggested Citation

  • Abhishek Saxena & Chandan Kumar Shiva & Ravi Shankar & B. Vedik, 2021. "Impacts of wind farms with multi-terminal HVDC system in frequency regulation using quasi-opposition pathfinder algorithm," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(6), pages 1434-1446, December.
  • Handle: RePEc:spr:ijsaem:v:12:y:2021:i:6:d:10.1007_s13198-021-01365-8
    DOI: 10.1007/s13198-021-01365-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-021-01365-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s13198-021-01365-8?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Shankar, Ravi & Pradhan, S.R. & Chatterjee, Kalyan & Mandal, Rajasi, 2017. "A comprehensive state of the art literature survey on LFC mechanism for power system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1185-1207.
    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. Eleftherios Vlahakis & Leonidas Dritsas & George Halikias, 2019. "Distributed LQR Design for a Class of Large-Scale Multi-Area Power Systems," Energies, MDPI, vol. 12(14), pages 1-28, July.
    2. Kaleem Ullah & Abdul Basit & Zahid Ullah & Sheraz Aslam & Herodotos Herodotou, 2021. "Automatic Generation Control Strategies in Conventional and Modern Power Systems: A Comprehensive Overview," Energies, MDPI, vol. 14(9), pages 1-43, April.
    3. Arya, Yogendra, 2019. "AGC of PV-thermal and hydro-thermal power systems using CES and a new multi-stage FPIDF-(1+PI) controller," Renewable Energy, Elsevier, vol. 134(C), pages 796-806.
    4. Arya, Yogendra, 2019. "Impact of hydrogen aqua electrolyzer-fuel cell units on automatic generation control of power systems with a new optimal fuzzy TIDF-II controller," Renewable Energy, Elsevier, vol. 139(C), pages 468-482.
    5. Leonardo Peña-Pupo & Herminio Martínez-García & Encarna García-Vílchez & Ernesto Y. Fariñas-Wong & José R. Núñez-Álvarez, 2021. "Combined Method of Flow-Reduced Dump Load for Frequency Control of an Autonomous Micro-Hydropower in AC Microgrids," Energies, MDPI, vol. 14(23), pages 1-17, December.
    6. Ahmed. H. A. Elkasem & Salah Kamel & Mohamed H. Hassan & Mohamed Khamies & Emad M. Ahmed, 2022. "An Eagle Strategy Arithmetic Optimization Algorithm for Frequency Stability Enhancement Considering High Renewable Power Penetration and Time-Varying Load," Mathematics, MDPI, vol. 10(6), pages 1-38, March.
    7. Ashraf Khalil & Ang Swee Peng, 2018. "A New Method for Computing the Delay Margin for the Stability of Load Frequency Control Systems," Energies, MDPI, vol. 11(12), pages 1-18, December.
    8. Hassan Haes Alhelou & Mohamad-Esmail Hamedani-Golshan & Reza Zamani & Ehsan Heydarian-Forushani & Pierluigi Siano, 2018. "Challenges and Opportunities of Load Frequency Control in Conventional, Modern and Future Smart Power Systems: A Comprehensive Review," Energies, MDPI, vol. 11(10), pages 1-35, September.
    9. Dhundhara, Sandeep & Verma, Yajvender Pal, 2018. "Capacitive energy storage with optimized controller for frequency regulation in realistic multisource deregulated power system," Energy, Elsevier, vol. 147(C), pages 1108-1128.
    10. Latif, Abdul & Hussain, S.M. Suhail & Das, Dulal Chandra & Ustun, Taha Selim, 2020. "State-of-the-art of controllers and soft computing techniques for regulated load frequency management of single/multi-area traditional and renewable energy based power systems," Applied Energy, Elsevier, vol. 266(C).

    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:spr:ijsaem:v:12:y:2021:i:6:d:10.1007_s13198-021-01365-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.