IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v7y2014i6p3900-3921d37377.html
   My bibliography  Save this article

Communication Network Architectures for Smart-Wind Power Farms

Author

Listed:
  • Mohamed A. Ahmed

    (Department of Computer Engineering, Chonbuk National University, Jeonju 561-756, Korea)

  • Young-Chon Kim

    (Smart Grid Research Center, Chonbuk National University, Jeonju 561-756, Korea)

Abstract

Developments in the wind power industry have enabled a new generation of wind turbines with longer blades, taller towers, higher efficiency, and lower maintenance costs due to the maturity of related technologies. Nevertheless, wind turbines are still blind machines because the control center is responsible for managing and controlling individual wind turbines that are turned on or off according to demand for electricity. In this paper, we propose a communication network architecture for smart-wind power farms (Smart-WPFs). The proposed architecture is designed for wind turbines to communicate directly and share sensing data in order to maximize power generation, WPF availability, and turbine efficiency. We also designed a sensor data frame structure to carry sensing data from different wind turbine parts such as the rotor, transformer, nacelle, etc. The data frame includes a logical node ID (LNID), sensor node ID (SNID), sensor type (ST), and sensor data based on the International Electrotechnical Commission (IEC) 61400-25 standard. We present an analytical model that describes upstream traffic between the wind turbines and the control center. Using a queueing theory approach, the upstream traffic is evaluated in view of bandwidth utilization and average queuing delay. The performance of the proposed network architectures are evaluated by using analytical and simulation models.

Suggested Citation

  • Mohamed A. Ahmed & Young-Chon Kim, 2014. "Communication Network Architectures for Smart-Wind Power Farms," Energies, MDPI, vol. 7(6), pages 1-22, June.
    • Handle: RePEc:gam:jeners:v:7:y:2014:i:6:p:3900-3921:d:37377
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/7/6/3900/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/7/6/3900/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. ChunLei Yang & Sven Modell, 2013. "Power and performance," Accounting, Auditing & Accountability Journal, Emerald Group Publishing Limited, vol. 26(1), pages 101-132, January.
    2. Oh, Ki-Yong & Kim, Ji-Young & Lee, Jae-Kyung & Ryu, Moo-Sung & Lee, Jun-Shin, 2012. "An assessment of wind energy potential at the demonstration offshore wind farm in Korea," Energy, Elsevier, vol. 46(1), pages 555-563.
    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. Motaz Ayiad & Emily Maggioli & Helder Leite & Hugo Martins, 2021. "Communication Requirements for a Hybrid VSC Based HVDC/AC Transmission Networks State Estimation," Energies, MDPI, vol. 14(4), pages 1-25, February.

    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. Sajid Ali & Sang-Moon Lee & Choon-Man Jang, 2017. "Determination of the Most Optimal On-Shore Wind Farm Site Location Using a GIS-MCDM Methodology: Evaluating the Case of South Korea," Energies, MDPI, vol. 10(12), pages 1-22, December.
    2. Nam, Woochul & Oh, Ki-Yong & Epureanu, Bogdan I., 2019. "Evolution of the dynamic response and its effects on the serviceability of offshore wind turbines with stochastic loads and soil degradation," Reliability Engineering and System Safety, Elsevier, vol. 184(C), pages 151-163.
    3. Zhao, Yawen & Hong, Hui & Jin, Hongguang, 2017. "Optimization of the solar field size for the solar–coal hybrid system," Applied Energy, Elsevier, vol. 185(P2), pages 1162-1172.
    4. Yue, Ting & Lior, Noam, 2017. "Exergo economic analysis of solar-assisted hybrid power generation systems integrated with thermochemical fuel conversion," Applied Energy, Elsevier, vol. 191(C), pages 204-222.
    5. Jin-Young Kim & Hyun-Goo Kim & Yong-Heack Kang, 2017. "Offshore Wind Speed Forecasting: The Correlation between Satellite-Observed Monthly Sea Surface Temperature and Wind Speed over the Seas around the Korean Peninsula," Energies, MDPI, vol. 10(7), pages 1-15, July.
    6. Ma, Youfu & Wang, Zirui & Lu, Junfu & Yang, Lijuan, 2018. "Techno-economic analysis of a novel hot air recirculation process for exhaust heat recovery from a 600 MW brown-coal-fired boiler," Energy, Elsevier, vol. 152(C), pages 348-357.
    7. Liu, Qiang & Shang, Linlin & Duan, Yuanyuan, 2016. "Performance analyses of a hybrid geothermal–fossil power generation system using low-enthalpy geothermal resources," Applied Energy, Elsevier, vol. 162(C), pages 149-162.
    8. Mohammed H. Alsharif & Jeong Kim & Jin Hong Kim, 2018. "Opportunities and Challenges of Solar and Wind Energy in South Korea: A Review," Sustainability, MDPI, vol. 10(6), pages 1-23, June.
    9. Kang, Dongbum & Ko, Kyungnam & Huh, Jongchul, 2015. "Determination of extreme wind values using the Gumbel distribution," Energy, Elsevier, vol. 86(C), pages 51-58.
    10. Yang, Zihao & Dong, Sheng, 2024. "A novel framework for wind energy assessment at multi-time scale based on non-stationary wind speed models: A case study in China," Renewable Energy, Elsevier, vol. 226(C).
    11. Li, Xinxiang & Soobaroyen, Teerooven, 2021. "Accounting, Ideological and Political Work and Chinese multinational operations: A neo-Gramscian perspective," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 74(C).
    12. Ryan K. Jacobson & Chockalingam Viswesvaran, 2017. "A Reliability Generalization Study of the Political Skill Inventory," SAGE Open, , vol. 7(2), pages 21582440177, May.
    13. Oh, Ki-Yong & Park, Joon-Young & Lee, Jun-Shin & Lee, JaeKyung, 2015. "Implementation of a torque and a collective pitch controller in a wind turbine simulator to characterize the dynamics at three control regions," Renewable Energy, Elsevier, vol. 79(C), pages 150-160.
    14. Yong Zhu & Rongrong Zhai & Yongping Yang & Miguel Angel Reyes-Belmonte, 2017. "Techno-Economic Analysis of Solar Tower Aided Coal-Fired Power Generation System," Energies, MDPI, vol. 10(9), pages 1-26, September.
    15. Yarmohammadi, Mohammad J. & Sadeghzadeh, Arash & Taghizadeh, Mostafa, 2020. "Gain-scheduled control of wind turbine exploiting inexact wind speed measurement for full operating range," Renewable Energy, Elsevier, vol. 149(C), pages 890-901.
    16. Ali, Qazi Shahzad & Kim, Man-Hoe, 2021. "Design and performance analysis of an airborne wind turbine for high-altitude energy harvesting," Energy, Elsevier, vol. 230(C).
    17. Dong, Cong & Huang, Guohe (Gordon) & Cheng, Guanhui, 2021. "Offshore wind can power Canada," Energy, Elsevier, vol. 236(C).
    18. Karen Benson & Peter M Clarkson & Tom Smith & Irene Tutticci, 2015. "A review of accounting research in the Asia Pacific region," Australian Journal of Management, Australian School of Business, vol. 40(1), pages 36-88, February.
    19. Zhai, Rongrong & Zhao, Miaomiao & Tan, Kaiyu & Yang, Yongping, 2015. "Optimizing operation of a solar-aided coal-fired power system based on the solar contribution evaluation method," Applied Energy, Elsevier, vol. 146(C), pages 328-334.
    20. Ukashatu Abubakar & Saad Mekhilef & Hazlie Mokhlis & Mehdi Seyedmahmoudian & Ben Horan & Alex Stojcevski & Hussain Bassi & Muhyaddin Jamal Hosin Rawa, 2018. "Transient Faults in Wind Energy Conversion Systems: Analysis, Modelling Methodologies and Remedies," Energies, MDPI, vol. 11(9), pages 1-33, August.

    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:6:p:3900-3921:d:37377. 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.