[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content
Springer Nature Link
Log in

Maintenance of Wind Turbine Scheduling Based on Output Power Data and Wind Forecast

  • Conference paper
  • First Online:
Advances in Dependability Engineering of Complex Systems (DepCoS-RELCOMEX 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 582))

Included in the following conference series:

  • 946 Accesses

Abstract

Maintenance of a wind turbine is a combination of all technical, administrative and managerial actions intended to retain it in, or restore it to, a state in which the turbine is able to generate power. This paper presents an influence diagram to estimate the expected utility that represents wind turbine energy to be produced given period of time in the future. The conditional probability distribution of a chance node of the diagram is obtained relying on Bayesian networks, whereas the utilities of value node are calculated thanks to the second order semi-Markov chains. The example shows the application of the models in the real case of one wind turbine E48 by Enercon located in northern part of Poland. Both Bayesian network parameters and kernel of semi-Markov chain are derived from real data recorded by SCADA system of the turbine and weather forecast.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
£29.99 /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
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 103.50
Price includes VAT (United Kingdom)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 129.99
Price includes VAT (United Kingdom)
  • Compact, lightweight 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

  1. Pattison, D., Segovia Garcia, M., Xie, W., Revie, M., Whitfield, R.I., Irvine, I.: Intelligent integrated maintenance for wind power generation. Wind Energ. 19, 547–562 (2016)

    Article  Google Scholar 

  2. Kerres, B., Fischer, K., Madlener, R.: Economic evaluation of maintenance strategies for wind turbines: a stochastic analysis. IET Renew. Power Gener. 9(7), 766–774 (2015)

    Article  Google Scholar 

  3. Sperstad, I.B., McAuliffe, F.D., Kolstad, M., Sjomark, S.: Investigating key decision problems to optimize the operation and maintenance strategy of offshore wind farms. Energ. Procedia 94, 261–268 (2016)

    Article  Google Scholar 

  4. Kjaerulff, U.B., Madsen, A.L.: Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis. Springer, New York (2008)

    Book  MATH  Google Scholar 

  5. D’Amico, G., Petroni, F., Prattico, F.: First and second order semi-Markov chains for wind speedmodeling. Phys. A 392(5), 1194–1201 (2013)

    Article  MathSciNet  Google Scholar 

  6. D’Amico, G., Petroni, F., Prattico, F.: Reliability measures of second order semi-Markov chain with application to wind energy production. J. Renew. Energ. 2013, 6 (2013). (368940)

    MATH  Google Scholar 

  7. D’Amico, G., Petroni, F., Prattico, F.: Performance analysis of second order semi-markov chains: an application to wind energy production. Methodol. Comput. Appl. Probab. 17, 781–794 (2015)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Pharmacy, University “G. d’Annunzio” of Chieti-Pescara, Italy, via dei Vestini 31, 66100, Chieti, Italy

    Guglielmo D’Amico

  2. Department of Business and Economics, University of Cagliari, Italy, V.le S. Ignazio 17, 09123, Cagliari, Italy

    Filippo Petroni

  3. Department of Power Engineering, Photonics and Lighting Technology, Bialystok University of Technology, Wiejska 45D, 15-351, Bialystok, Poland

    Robert Adam Sobolewski

Authors
  1. Guglielmo D’Amico
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Filippo Petroni
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Robert Adam Sobolewski
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Robert Adam Sobolewski .

Editor information

Editors and Affiliations

  1. Department of Computer Engineering, Wrocław University of Technology Department of Computer Engineering, Wrocław, Poland

    Wojciech Zamojski

  2. Department of Computer Engineering, Wrocław University of Technology Department of Computer Engineering, Wrocław, Poland

    Jacek Mazurkiewicz

  3. Department of Computer Engineering, Wrocław University of Technology, Wroclaw, Poland

    Jarosław Sugier

  4. Department of Computer Engineering, Wrocław University of Technology Department of Computer Engineering, Wrocław, Poland

    Tomasz Walkowiak

  5. Systems Research Institute, Polish Academy of Sciences Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

D’Amico, G., Petroni, F., Sobolewski, R.A. (2018). Maintenance of Wind Turbine Scheduling Based on Output Power Data and Wind Forecast. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds) Advances in Dependability Engineering of Complex Systems. DepCoS-RELCOMEX 2017. Advances in Intelligent Systems and Computing, vol 582. Springer, Cham. https://doi.org/10.1007/978-3-319-59415-6_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-59415-6_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59414-9

  • Online ISBN: 978-3-319-59415-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation