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Reducing computational effort in the calculation of annual energy produced in wind farms

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  • Gonzalez-Rodriguez, Angel G.
  • Burgos-Payan, Manuel
  • Riquelme-Santos, Jesus
  • Serrano-Gonzalez, Javier

Abstract

Metaheuristic methods are commonly used in the optimization of wind farms by means of turbine micro-siting. The typical pattern search used by these methods to explore the solution space makes it necessary to repeatedly evaluate the objective function (and hence the annual energy produced by the wind plant under optimization) a large number of times. For each case, before evaluating energy production, it is necessary to calculate the wind speed deficit at the position of each turbine due to the wake effect: a very time-consuming task.

Suggested Citation

  • Gonzalez-Rodriguez, Angel G. & Burgos-Payan, Manuel & Riquelme-Santos, Jesus & Serrano-Gonzalez, Javier, 2015. "Reducing computational effort in the calculation of annual energy produced in wind farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 656-665.
  • Handle: RePEc:eee:rensus:v:43:y:2015:i:c:p:656-665
    DOI: 10.1016/j.rser.2014.11.024
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    References listed on IDEAS

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    1. Marmidis, Grigorios & Lazarou, Stavros & Pyrgioti, Eleftheria, 2008. "Optimal placement of wind turbines in a wind park using Monte Carlo simulation," Renewable Energy, Elsevier, vol. 33(7), pages 1455-1460.
    2. Wan, Chunqiu & Wang, Jun & Yang, Geng & Gu, Huajie & Zhang, Xing, 2012. "Wind farm micro-siting by Gaussian particle swarm optimization with local search strategy," Renewable Energy, Elsevier, vol. 48(C), pages 276-286.
    3. González, J. Serrano & Rodríguez, Á.G. González & Mora, J. Castro & Burgos Payán, M. & Santos, J. Riquelme, 2011. "Overall design optimization of wind farms," Renewable Energy, Elsevier, vol. 36(7), pages 1973-1982.
    4. Grady, S.A. & Hussaini, M.Y. & Abdullah, M.M., 2005. "Placement of wind turbines using genetic algorithms," Renewable Energy, Elsevier, vol. 30(2), pages 259-270.
    5. Kiranoudis, C.T. & Maroulis, Z.B., 1997. "Effective short-cut modelling of wind park efficiency," Renewable Energy, Elsevier, vol. 11(4), pages 439-457.
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    Cited by:

    1. Jie Tian & Dao Zhou & Chi Su & Mohsen Soltani & Zhe Chen & Frede Blaabjerg, 2017. "Wind Turbine Power Curve Design for Optimal Power Generation in Wind Farms Considering Wake Effect," Energies, MDPI, vol. 10(3), pages 1-19, March.
    2. Rodrigues, S. & Bauer, P. & Bosman, Peter A.N., 2016. "Multi-objective optimization of wind farm layouts – Complexity, constraint handling and scalability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 587-609.

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