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A comparison of optimizers in a unified standard for optimization on wind farm layout optimization

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  • Croonenbroeck, Carsten
  • Hennecke, David

Abstract

Wind Farm Layout Optimization (WFLO) is a vivid field of research dealing with the difficult problem of optimally arranging a given number of wind turbines inside a local area (wind farm). There are several types of objective functions, varying optimization strategies, different sets of underlying data, assumptions and simplifications to the problem, among other issues making fair comparisons of problem solving techniques challenging. We discuss a new unified framework that provides highly accurate data, a modular approach to economically driven objective functions, and a unified and fair benchmark for mathematical optimizers that are easily plugged into that framework. Finally, we provide an exemplary work flow and use it to show a comparison study of optimizing techniques within the framework, focussing on types of optimizers frequently used in this field.

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  • Croonenbroeck, Carsten & Hennecke, David, 2021. "A comparison of optimizers in a unified standard for optimization on wind farm layout optimization," Energy, Elsevier, vol. 216(C).
    • Handle: RePEc:eee:energy:v:216:y:2021:i:c:s0360544220323513
    DOI: 10.1016/j.energy.2020.119244
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    Cited by:

    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.
    2. Masoudi, Seiied Mohsen & Baneshi, Mehdi, 2022. "Layout optimization of a wind farm considering grids of various resolutions, wake effect, and realistic wind speed and wind direction data: A techno-economic assessment," Energy, Elsevier, vol. 244(PB).

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    More about this item

    Keywords

    Wind energy; WFLO; Wind farm layout optimization; Optimization; NP-Hard; R package; Wake models; Open data; Genetic algorithm; Benchmark;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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