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Comparative Performance of Twelve Metaheuristics for Wind Farm Layout Optimisation

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Abstract

This work bridges two research fields i.e. metaheuristics and wind farm layout design. Comparative performance of twelve metaheuristics (MHs) on wind farm layout optimisation (WFLO) was conducted. Four WFLO problems are proposed for benchmarking the various metaheuristics while the design problem is an attempt to simultaneously minimise wind farm cost and maximise wind farm totally produced power. Design variables are wind turbine placement with fixed and varied number of wind turbines. The Jansen’s wake model is used while two types of energy estimation with and without considering partially overshadowed wake areas are studied. The results obtained from using various MHs are statistically compared in terms of convergence and consistency while the best performer is obtained. Comparison results indicated that moth-flame optimisation (MFO) algorithm is the most efficient algorithms. The results obtained in this work are said to be the baseline for future study on WFLO using metahueristics.

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Acknowledgements

The authors are grateful for the support from the Thailand Research Fund (RTA6180010).

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Authors and Affiliations

  1. Department of Mechanical Engineering, Faculty of Engineering, Mahasarakham University, Maha Sarakham, Thailand

    Tawatchai Kunakote

  2. Sustainable and Infrastructure Research and Development Center, Department of Mechanical Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen, 40002, Thailand

    Numchoak Sabangban, Natee Panagant, Nantiwat Pholdee & Sujin Bureerat

  3. Department of Mechanical Engineering, GPERI, Gujarat Technological University, Ahmedabad, Gujarat, India

    Sumit Kumar

  4. Department of Mechanical Engineering, School of Technology, GSFC University, Vadodara, Gujarat, India

    Ghanshyam G. Tejani

  5. Department of Automotive Engineering, Bursa Uludag University, Bursa, Turkey

    Ali R. Yildiz

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  1. Tawatchai Kunakote
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Kunakote, T., Sabangban, N., Kumar, S. et al. Comparative Performance of Twelve Metaheuristics for Wind Farm Layout Optimisation. Arch Computat Methods Eng 29, 717–730 (2022). https://doi.org/10.1007/s11831-021-09586-7

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