Skip to main content

Control and Monitoring of Wind Farms Based on IoT Application for Energy Conversion

  • Reference work entry
  • First Online:
Handbook of Smart Energy Systems

Abstract

Wind farms are comprised of large, expensive wind turbines. The bigger the turbine, the more power it is capable of producing. These wind farms are frequently located in remote areas and require high reliability, and the monitoring and controlling of such farms are very tedious. Wind farms may be located far inside the sea, between the mountains, or in forests. Thus, when minor faults occur, the people have to go to that particular location for fault clearing. It requires a lot of manpower and time, and faces severe economic difficulties. These limitations can be overcome by the use of the Internet of Things concept. Most of the existing products use memory cards or PCs for data logging. This stored data is accessible only on that particular PC. This limitation is also addressed by IoT technology.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 1,399.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 1,399.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  • M. Kordestani, M.F. Samadi, M. Saif, K. Khorasani, A new fault prognosis of MFS system using integrated extended Kalman filter and Bayesian method. IEEE Trans. Ind. Inf., 1–11 (2018)

    Google Scholar 

  • R.K. Singleton, E.G. Strangas, S. Aviyente, The use of bearing currents and vibrations in lifetime estimation of bearings. IEEE Trans. Ind. Inf. 13(3), 1301–1309 (2017)

    Article  Google Scholar 

  • M. Yu, D. Wang, M. Luo, An integrated approach to prognosis of hybrid systems with unknown mode changes. IEEE Trans. Ind. Electron. 62(1), 503–515 (2015)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 Springer Nature Switzerland AG

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Niyazi, M., Babadi, A.N. (2023). Control and Monitoring of Wind Farms Based on IoT Application for Energy Conversion. In: Fathi, M., Zio, E., Pardalos, P.M. (eds) Handbook of Smart Energy Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-97940-9_177

Download citation

Publish with us

Policies and ethics