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Adaptive Neuro-Fuzzy Optimization of Wind Farm Project Investment Under Wake Effect

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Proceedings of the III Advanced Ceramics and Applications Conference

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Abstract

The engineering planning of a wind farm generally includes critical decision-making, regarding the layout of the turbines in the wind farm, the number of wind turbines to be installed and the types of wind turbines to be installed. Two primary objectives of optimal wind farm planning are to minimize the cost of energy and to maximize the net energy production or to maximize wind farm efficiency. The optimal wind turbine placement on a wind farm could be modified by taking economic aspects into account. The net present value (NPV) and internal rate of return (IRR) are two of the most important criteria for project investment estimating. To assess the investment risk of wind power project, this paper constructed a process which initially simulated maximal NPV with adaptive neuro-fuzzy (ANFIS) method and then evaluated the IRR based on it. Afterwards, ANFIS simulated maximal IRR and then evaluated the NPV based on it. ANFIS shows very good learning and prediction capabilities, which makes it an efficient tool to deal with encountered uncertainties in any system. The aim of this paper is to develop a model to determine economically optimal layouts for wind farms which include the aerodynamic interactions between the turbines, the various cost factors and wind regime.

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Authors and Affiliations

  1. Faculty of Mechanical Engineering, Department for Mechatronics and Control, University of Nis, Aleksandra Medvedeva 14, 18000, Nis, Serbia

    Dalibor Petković

  2. Institute of Technical Sciences, Serbian Academy of Science and Art, Belgrade, Serbia

    Vojislav V. Mitić

  3. Faculty of Electronic Engineering, University of Nis, Nis, Serbia

    Ljubiša Kocić

Authors
  1. Dalibor Petković
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  2. Vojislav V. Mitić
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  3. Ljubiša Kocić
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Correspondence to Dalibor Petković .

Editor information

Editors and Affiliations

  1. Department of Materials, Faculty of Engg, Imperial College London, London, United Kingdom

    William E. Lee

  2. University of Stuttgart, Stuttgart, Germany

    Rainer Gadow

  3. Faculty of Electronic Engineering, University of Nis, Nis, Serbia

    Vojislav Mitic

  4. Institute of Technical Sciences, Serbian Academy of Sciences and Arts, Belgrade, Serbia

    Nina Obradovic

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Petković, D., Mitić, V.V., Kocić, L. (2016). Adaptive Neuro-Fuzzy Optimization of Wind Farm Project Investment Under Wake Effect. In: Lee, W., Gadow, R., Mitic, V., Obradovic, N. (eds) Proceedings of the III Advanced Ceramics and Applications Conference. Atlantis Press, Paris. https://doi.org/10.2991/978-94-6239-157-4_19

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  • DOI: https://doi.org/10.2991/978-94-6239-157-4_19

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