IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i11p3134-d182398.html
   My bibliography  Save this article

Power Control of Direct Interconnection Technique for Airborne Wind Energy Systems

Author

Listed:
  • Mahdi Ebrahimi Salari

    (Centre for Robotics & Intelligent Systems, University of Limerick, Limerick V94 T9PX, Ireland)

  • Joseph Coleman

    (Centre for Robotics & Intelligent Systems, University of Limerick, Limerick V94 T9PX, Ireland)

  • Daniel Toal

    (Centre for Robotics & Intelligent Systems, University of Limerick, Limerick V94 T9PX, Ireland)

Abstract

In this paper, an offshore airborne wind energy (AWE) farm consisting of three non-reversing pumping mode AWE systems is modelled and simulated. The AWE systems employ permanent magnet synchronous generators (PMSG). A direct interconnection technique is developed and implemented for AWE systems. This method is a new approach invented for interconnecting offshore wind turbines with the least number of required offshore-based power electronic converters. The direct interconnection technique can be beneficial in improving the economy and reliability of marine airborne wind energy systems. The performance and interactions of the directly interconnected generators inside the energy farm internal power grid are investigated. The results of the study conducted in this paper, show the directly interconnected AWE systems can exhibit a poor load balance and significant reactive power exchange which must be addressed. Power control strategies for controlling the active and reactive power of the AWE farm are designed, implemented, and promising results are discussed in this paper.

Suggested Citation

  • Mahdi Ebrahimi Salari & Joseph Coleman & Daniel Toal, 2018. "Power Control of Direct Interconnection Technique for Airborne Wind Energy Systems," Energies, MDPI, vol. 11(11), pages 1-17, November.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:3134-:d:182398
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/11/3134/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/11/11/3134/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Coleman, J. & Ahmad, H. & Pican, E. & Toal, D., 2014. "Modelling of a synchronous offshore pumping mode airborne wind energy farm," Energy, Elsevier, vol. 71(C), pages 569-578.
    2. Yingying Zhao & Dongsheng Li & Ao Dong & Dahai Kang & Qin Lv & Li Shang, 2017. "Fault Prediction and Diagnosis of Wind Turbine Generators Using SCADA Data," Energies, MDPI, vol. 10(8), pages 1-17, August.
    3. Pican, E. & Omerdic, E. & Toal, D. & Leahy, M., 2011. "Analysis of parallel connected synchronous generators in a novel offshore wind farm model," Energy, Elsevier, vol. 36(11), pages 6387-6397.
    4. Heptonstall, Philip & Gross, Robert & Greenacre, Philip & Cockerill, Tim, 2012. "The cost of offshore wind: Understanding the past and projecting the future," Energy Policy, Elsevier, vol. 41(C), pages 815-821.
    5. Cherubini, Antonello & Papini, Andrea & Vertechy, Rocco & Fontana, Marco, 2015. "Airborne Wind Energy Systems: A review of the technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1461-1476.
    6. Anny Key de Souza Mendonça & Caroline Rodrigues Vaz & Álvaro Guillermo Rojas Lezana & Cristiane Alves Anacleto & Edson Pacheco Paladini, 2017. "Comparing Patent and Scientific Literature in Airborne Wind Energy," Sustainability, MDPI, vol. 9(6), pages 1-22, May.
    7. Archer, Cristina L. & Delle Monache, Luca & Rife, Daran L., 2014. "Airborne wind energy: Optimal locations and variability," Renewable Energy, Elsevier, vol. 64(C), pages 180-186.
    8. Salari, Mahdi Ebrahimi & Coleman, Joseph & Toal, Daniel, 2019. "Analysis of direct interconnection technique for offshore airborne wind energy systems under normal and fault conditions," Renewable Energy, Elsevier, vol. 131(C), pages 284-296.
    9. Wenlei Bai & Duehee Lee & Kwang Y. Lee, 2017. "Stochastic Dynamic AC Optimal Power Flow Based on a Multivariate Short-Term Wind Power Scenario Forecasting Model," Energies, MDPI, vol. 10(12), pages 1-19, December.
    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. Ali Arshad Uppal & Manuel C. R. M. Fernandes & Sérgio Vinha & Fernando A. C. C. Fontes, 2021. "Cascade Control of the Ground Station Module of an Airborne Wind Energy System," Energies, MDPI, vol. 14(24), pages 1-25, December.

    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. Salari, Mahdi Ebrahimi & Coleman, Joseph & Toal, Daniel, 2019. "Analysis of direct interconnection technique for offshore airborne wind energy systems under normal and fault conditions," Renewable Energy, Elsevier, vol. 131(C), pages 284-296.
    2. André F. C. Pereira & João M. M. Sousa, 2022. "A Review on Crosswind Airborne Wind Energy Systems: Key Factors for a Design Choice," Energies, MDPI, vol. 16(1), pages 1-40, December.
    3. Ali, Qazi Shahzad & Kim, Man-Hoe, 2022. "Power conversion performance of airborne wind turbine under unsteady loads," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    4. Jochem De Schutter & Rachel Leuthold & Thilo Bronnenmeyer & Elena Malz & Sebastien Gros & Moritz Diehl, 2023. "AWEbox : An Optimal Control Framework for Single- and Multi-Aircraft Airborne Wind Energy Systems," Energies, MDPI, vol. 16(4), pages 1-32, February.
    5. Saleem, Arslan & Kim, Man-Hoe, 2020. "Aerodynamic performance optimization of an airfoil-based airborne wind turbine using genetic algorithm," Energy, Elsevier, vol. 203(C).
    6. Mostafa A. Rushdi & Ahmad A. Rushdi & Tarek N. Dief & Amr M. Halawa & Shigeo Yoshida & Roland Schmehl, 2020. "Power Prediction of Airborne Wind Energy Systems Using Multivariate Machine Learning," Energies, MDPI, vol. 13(9), pages 1-23, May.
    7. Malz, E.C. & Hedenus, F. & Göransson, L. & Verendel, V. & Gros, S., 2020. "Drag-mode airborne wind energy vs. wind turbines: An analysis of power production, variability and geography," Energy, Elsevier, vol. 193(C).
    8. Saleem, Arslan & Kim, Man-Hoe, 2019. "Performance of buoyant shell horizontal axis wind turbine under fluctuating yaw angles," Energy, Elsevier, vol. 169(C), pages 79-91.
    9. Kazemi, Seyed Ali & Nili-Ahmadabadi, Mahdi & Sedaghat, Ahmad & Saghafian, Mohsen, 2016. "Aerodynamic performance of a circulating airfoil section for Magnus systems via numerical simulation and flow visualization," Energy, Elsevier, vol. 104(C), pages 1-15.
    10. Helena Schmidt & Gerdien de Vries & Reint Jan Renes & Roland Schmehl, 2022. "The Social Acceptance of Airborne Wind Energy: A Literature Review," Energies, MDPI, vol. 15(4), pages 1-24, February.
    11. Bechtle, Philip & Schelbergen, Mark & Schmehl, Roland & Zillmann, Udo & Watson, Simon, 2019. "Airborne wind energy resource analysis," Renewable Energy, Elsevier, vol. 141(C), pages 1103-1116.
    12. Coleman, J. & Ahmad, H. & Pican, E. & Toal, D., 2014. "Modelling of a synchronous offshore pumping mode airborne wind energy farm," Energy, Elsevier, vol. 71(C), pages 569-578.
    13. Christoph Wolter & Henrik Klinge Jacobsen & Lorenzo Zeni & Georgios Rogdakis & Nicolaos A. Cutululis, 2020. "Overplanting in offshore wind power plants in different regulatory regimes," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 9(3), May.
    14. Levi, Peter G. & Pollitt, Michael G., 2015. "Cost trajectories of low carbon electricity generation technologies in the UK: A study of cost uncertainty," Energy Policy, Elsevier, vol. 87(C), pages 48-59.
    15. Knopf, Brigitte & Nahmmacher, Paul & Schmid, Eva, 2015. "The European renewable energy target for 2030 – An impact assessment of the electricity sector," Energy Policy, Elsevier, vol. 85(C), pages 50-60.
    16. Izquierdo, J. & Márquez, A. Crespo & Uribetxebarria, J. & Erguido, A., 2020. "On the importance of assessing the operational context impact on maintenance management for life cycle cost of wind energy projects," Renewable Energy, Elsevier, vol. 153(C), pages 1100-1110.
    17. Liang, Tao & Zhao, Qing & Lv, Qingzhao & Sun, Hexu, 2021. "A novel wind speed prediction strategy based on Bi-LSTM, MOOFADA and transfer learning for centralized control centers," Energy, Elsevier, vol. 230(C).
    18. Camila Correa-Jullian & Sergio Cofre-Martel & Gabriel San Martin & Enrique Lopez Droguett & Gustavo de Novaes Pires Leite & Alexandre Costa, 2022. "Exploring Quantum Machine Learning and Feature Reduction Techniques for Wind Turbine Pitch Fault Detection," Energies, MDPI, vol. 15(8), pages 1-29, April.
    19. Geels, Frank W. & Kern, Florian & Fuchs, Gerhard & Hinderer, Nele & Kungl, Gregor & Mylan, Josephine & Neukirch, Mario & Wassermann, Sandra, 2016. "The enactment of socio-technical transition pathways: A reformulated typology and a comparative multi-level analysis of the German and UK low-carbon electricity transitions (1990–2014)," Research Policy, Elsevier, vol. 45(4), pages 896-913.
    20. Johannes Alexander Müller & Mostafa Yasser Mostafa Khalil Elhashash & Volker Gollnick, 2022. "Electrical Launch Catapult and Landing Decelerator for Fixed-Wing Airborne Wind Energy Systems," Energies, MDPI, vol. 15(7), pages 1-19, March.

    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:11:y:2018:i:11:p:3134-:d:182398. 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.