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Realistic Optimization of Parallelogram-Shaped Offshore Wind Farms Considering Continuously Distributed Wind Resources

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  • Angel G. Gonzalez-Rodriguez

    (Department of Electronic Technology and Automation, University of Jaen, 23071 Jaen, Spain
    Current address: Department of Electronic Technology and Automation, University of Jaen, A3-442 Jaen, Spain.
    These authors contributed equally to this work.)

  • Javier Serrano-González

    (Department of Electrical Engineering, University of Seville, 41004 Seville, Spain
    These authors contributed equally to this work.)

  • Manuel Burgos-Payán

    (Department of Electrical Engineering, University of Seville, 41004 Seville, Spain
    These authors contributed equally to this work.)

  • Jesús Manuel Riquelme-Santos

    (Department of Electrical Engineering, University of Seville, 41004 Seville, Spain
    These authors contributed equally to this work.)

Abstract

Offshore wind power plants are becoming a realistic option for the renewable production of electricity. As an improvement tool to the profitability of OWFs, this work presents the first complete non-genetic (and non-binary) evolutionary algorithm to optimize the location, size and layout of a parallelogram-shaped offshore wind farm, as the arrangement that is becoming an standard for offshore wind farms. It has been tested in the HRI site. Most relevant economic data influencing the investment profitability have been taken into account. In addition, the paper introduces a new approach to offshore wind farm optimization based on a continuous behaviour of varying wind conditions, which allows a more realistic estimation of the energy produced. The proposed optimization approach has been tested based on the available information from HRI. Obtained solutions present similar values to the actual offshore wind farm in terms of investment and annual energy produced, but differs with respect to the optimal orientation and profitability. The contributions of this paper are: it details the first method to interpolate a continuous distribution of wind rose and Weibull parameters; it presents the first algorithm to obtain a realistic optimal solution to the location+sizing+micro-siting problem for regular arrangements; it is prepared to work with the most complete set of economic, bathymetric, and wind data.

Suggested Citation

  • Angel G. Gonzalez-Rodriguez & Javier Serrano-González & Manuel Burgos-Payán & Jesús Manuel Riquelme-Santos, 2021. "Realistic Optimization of Parallelogram-Shaped Offshore Wind Farms Considering Continuously Distributed Wind Resources," Energies, MDPI, vol. 14(10), pages 1-20, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:10:p:2895-:d:556429
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    References listed on IDEAS

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    1. Zhichang Liang & Haixiao Liu, 2023. "Layout Optimization Algorithms for the Offshore Wind Farm with Different Densities Using a Full-Field Wake Model," Energies, MDPI, vol. 16(16), pages 1-15, August.

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