IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i10p2440-d1398276.html
   My bibliography  Save this article

Selection of an Optimal Frequency for Offshore Wind Farms

Author

Listed:
  • Byeonghyeon An

    (Department of Electrical and Control Engineering, Mokpo National University, Muan 58554, Republic of Korea)

  • Junsoo Che

    (Department of Electrical and Control Engineering, Mokpo National University, Muan 58554, Republic of Korea)

  • Taehun Kim

    (Department of Electrical and Control Engineering, Mokpo National University, Muan 58554, Republic of Korea)

  • Taesik Park

    (Department of Electrical and Control Engineering, Mokpo National University, Muan 58554, Republic of Korea)

Abstract

Offshore wind power has attracted significant attention due to its high potential, capability for large-scale farms, and high capacity factor. However, it faces high investment costs and issues with subsea power transmission. Conventional high-voltage AC (HVAC) methods are limited by charging current, while high-voltage DC (HVDC) methods suffer from the high cost of power conversion stations. The low-frequency AC (LFAC) method mitigates the charging current through low-frequency operation and can reduce power conversion station costs. This paper aims to identify the economically optimal frequency by comparing the investment costs of LFAC systems at various frequencies. The components of LFAC, including transformers, offshore platforms, and cables, exhibit frequency-dependent characteristics. Lower frequencies result in an increased size and volume of transformers, leading to higher investment costs for offshore platforms. In contrast, cable charging currents and losses are proportional to frequency, causing the total cost to reach a minimum at a specific frequency. To determine the optimal frequency, simulations of investment costs for varying capacities and distances were conducted.

Suggested Citation

  • Byeonghyeon An & Junsoo Che & Taehun Kim & Taesik Park, 2024. "Selection of an Optimal Frequency for Offshore Wind Farms," Energies, MDPI, vol. 17(10), pages 1-20, May.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:10:p:2440-:d:1398276
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/10/2440/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/10/2440/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Conlon, Terence & Waite, Michael & Modi, Vijay, 2019. "Assessing new transmission and energy storage in achieving increasing renewable generation targets in a regional grid," Applied Energy, Elsevier, vol. 250(C), pages 1085-1098.
    2. Domínguez-García, José Luis & Rogers, Daniel J. & Ugalde-Loo, Carlos E. & Liang, Jun & Gomis-Bellmunt, Oriol, 2012. "Effect of non-standard operating frequencies on the economic cost of offshore AC networks," Renewable Energy, Elsevier, vol. 44(C), pages 267-280.
    3. Zheren Zhang & Yanqiu Jin & Zheng Xu, 2023. "Modeling and Control of Modular Multilevel Matrix Converter for Low-Frequency AC Transmission," Energies, MDPI, vol. 16(8), pages 1-22, April.
    4. Dicorato, M. & Forte, G. & Pisani, M. & Trovato, M., 2011. "Guidelines for assessment of investment cost for offshore wind generation," Renewable Energy, Elsevier, vol. 36(8), pages 2043-2051.
    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. Meng, Yongqing & Yan, Shuhao & Wu, Kang & Ning, Lianhui & Li, Xuan & Wang, Xiuli & Wang, Xifan, 2021. "Comparative economic analysis of low frequency AC transmission system for the integration of large offshore wind farms," Renewable Energy, Elsevier, vol. 179(C), pages 1955-1968.
    2. de Prada Gil, Mikel & Gomis-Bellmunt, Oriol & Sumper, Andreas, 2014. "Technical and economic assessment of offshore wind power plants based on variable frequency operation of clusters with a single power converter," Applied Energy, Elsevier, vol. 125(C), pages 218-229.
    3. Nikkhah, Saman & Rabiee, Abbas, 2018. "Optimal wind power generation investment, considering voltage stability of power systems," Renewable Energy, Elsevier, vol. 115(C), pages 308-325.
    4. 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.
    5. Sajid Ali & Sang-Moon Lee & Choon-Man Jang, 2017. "Techno-Economic Assessment of Wind Energy Potential at Three Locations in South Korea Using Long-Term Measured Wind Data," Energies, MDPI, vol. 10(9), pages 1-24, September.
    6. Deveci, Muhammet & Cali, Umit & Kucuksari, Sadik & Erdogan, Nuh, 2020. "Interval type-2 fuzzy sets based multi-criteria decision-making model for offshore wind farm development in Ireland," Energy, Elsevier, vol. 198(C).
    7. Cheng, Yi & Azizipanah-Abarghooee, Rasoul & Azizi, Sadegh & Ding, Lei & Terzija, Vladimir, 2020. "Smart frequency control in low inertia energy systems based on frequency response techniques: A review," Applied Energy, Elsevier, vol. 279(C).
    8. Wei Chen & Yongle Tian & Kaiming Zheng & Nana Wan, 2023. "Influences of mechanisms on investment in renewable energy storage equipment," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(11), pages 12569-12595, November.
    9. Astariz, S. & Iglesias, G., 2016. "Output power smoothing and reduced downtime period by combined wind and wave energy farms," Energy, Elsevier, vol. 97(C), pages 69-81.
    10. Saranchimeg, Sainbold & Nair, Nirmal K.C., 2021. "A novel framework for integration analysis of large-scale photovoltaic plants into weak grids," Applied Energy, Elsevier, vol. 282(PA).
    11. Satir, Mert & Murphy, Fionnuala & McDonnell, Kevin, 2018. "Feasibility study of an offshore wind farm in the Aegean Sea, Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2552-2562.
    12. Alexander Micallef & Cyril Spiteri Staines & Alan Cassar, 2022. "Utility-Scale Storage Integration in the Maltese Medium-Voltage Distribution Network," Energies, MDPI, vol. 15(8), pages 1-20, April.
    13. Khadijah Barashid & Amr Munshi & Ahmad Alhindi, 2023. "Wind Farm Power Prediction Considering Layout and Wake Effect: Case Study of Saudi Arabia," Energies, MDPI, vol. 16(2), pages 1-22, January.
    14. Lin, Zi & Cevasco, Debora & Collu, Maurizio, 2020. "A methodology to develop reduced-order models to support the operation and maintenance of offshore wind turbines," Applied Energy, Elsevier, vol. 259(C).
    15. Huijia Yang & Weiguang Fan & Guangyu Qin & Zhenyu Zhao, 2021. "A Fuzzy-ANP Approach for Comprehensive Benefit Evaluation of Grid-Side Commercial Storage Project," Energies, MDPI, vol. 14(4), pages 1-17, February.
    16. Schönleber, Kevin & Collados, Carlos & Pinto, Rodrigo Teixeira & Ratés-Palau, Sergi & Gomis-Bellmunt, Oriol, 2017. "Optimization-based reactive power control in HVDC-connected wind power plants," Renewable Energy, Elsevier, vol. 109(C), pages 500-509.
    17. Feng, Ju & Shen, Wen Zhong, 2017. "Design optimization of offshore wind farms with multiple types of wind turbines," Applied Energy, Elsevier, vol. 205(C), pages 1283-1297.
    18. De Prada Gil, Mikel & Domínguez-García, J.L. & Díaz-González, F. & Aragüés-Peñalba, M. & Gomis-Bellmunt, Oriol, 2015. "Feasibility analysis of offshore wind power plants with DC collection grid," Renewable Energy, Elsevier, vol. 78(C), pages 467-477.
    19. Domínguez-García, José Luis & Rogers, Daniel J. & Ugalde-Loo, Carlos E. & Liang, Jun & Gomis-Bellmunt, Oriol, 2012. "Effect of non-standard operating frequencies on the economic cost of offshore AC networks," Renewable Energy, Elsevier, vol. 44(C), pages 267-280.
    20. Conlon, Terence & Waite, Michael & Wu, Yuezi & Modi, Vijay, 2022. "Assessing trade-offs among electrification and grid decarbonization in a clean energy transition: Application to New York State," Energy, Elsevier, vol. 249(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:gam:jeners:v:17:y:2024:i:10:p:2440-:d:1398276. 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.