Skip to main content

Optimal Evolutionary Wind Turbine Placement in Wind Farms Considering New Models of Shape, Orography and Wind Speed Simulation

  • Conference paper
Book cover Advances in Computational Intelligence (IWANN 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6691))

Included in the following conference series:

  • 2242 Accesses

Abstract

In this paper we present a novel evolutionary algorithm for optimal positioning of wind turbines in wind farms. We consider a realistic model for the wind farm, which includes orography, shape of the wind farm, simulation of the wind speed and direction, and costs of installation, connection and road construction among wind turbines. Several experiments show that the proposed evolutionary approach obtains very good solutions which maximize power production, and takes into account the different constraints of the problem.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Serrano-González, J., González-Rodríguez, A.G., Castro-Mora, J., Riquelme-Santos, J., Burgos-Payán, M.: Optimization of wind farm turbines layout using an evolutive algorithm. Renewable Energy 35(8), 1–11 (2010)

    Google Scholar 

  2. Swisher, R., Real de Azua, C., Clendenin, J.: Strong winds on the horizon: wind power comes of age. Proceedings of the IEEE 89(12) (2001)

    Google Scholar 

  3. Réthoré, P.E.: State of the art in wind farm layout optimization. Wind Energy Research, http://windenergyresearch.org/?p=979

  4. Mosetti, G., Poloni, C., Diviacco, B.: Optimization of wind turbine positioning in large wind farms by means of a genetic algorithm. Journal of Wind Engineering and Industrial Aerodynamics 51(1), 105–116 (1994)

    Article  Google Scholar 

  5. Grady, S.A., Hussaini, M.Y., Abdullah, M.M.: Placement of wind turbines using genetic algorithms. Renewable Energy 30(2), 259–270 (2005)

    Article  Google Scholar 

  6. Emami, A., Noghreh, P.: New approach on optimization in placement of wind turbines within wind farm by genetic algorithms. Renewable Energy (2010) (in press)

    Google Scholar 

  7. Riquelme-Santos, J., Burgos-Payan, M., Calero, J.M., Castro Mora, J.: An evolutive algorithm for wind farm optimal design. Neurocomputing 70(16-18), 2651–2658 (2007)

    Article  Google Scholar 

  8. Martínez-Ramos, J.L., Castro, J., Riquelme-Santos, J., Burgos-Payán, M.: A hybrid evolutive algorithm for wind farm optimum network design. In: Artificial Intelligence in Energy Systems and Power, Madeira, Portugal, pp. 1–5 (2006)

    Google Scholar 

  9. Serrano-González, J., Riquelme-Santos, Burgos-Payán, M.: Wind farm optimal design including risk. In: Proc. of the Modern Electric Power Systems, Wroclaw, Poland (2010)

    Google Scholar 

  10. Wang, C., Yang, G., Li, X., Zhang, X.: Optimal micro-siting of wind turbines by genetic algorithms based on improved wind and turbine models. In: Proc. of the 48th IEEE Conference on Decision and Control, Shanghai, China, pp. 5092–5096 (2009)

    Google Scholar 

  11. Eiben, A.E., Smith, J.E.: Introduction to evolutionary computing. Springer, Heidelberg (2003)

    Book  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Saavedra-Moreno, B., Salcedo-Sanz, S., Paniagua-Tineo, A., Gascón-Moreno, J., Portilla-Figueras, J.A. (2011). Optimal Evolutionary Wind Turbine Placement in Wind Farms Considering New Models of Shape, Orography and Wind Speed Simulation. In: Cabestany, J., Rojas, I., Joya, G. (eds) Advances in Computational Intelligence. IWANN 2011. Lecture Notes in Computer Science, vol 6691. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21501-8_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-21501-8_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21500-1

  • Online ISBN: 978-3-642-21501-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics