Abstract
The optimal deployment of turbines in a wind farm, namely micro-sitting, is crucial to improve the economical returns of a wind power plant. Traditionally, a wind farm layout is designed with identical turbines. In this work, installation of multiple types of turbines is introduced in the first time to further increase the efficiency of the farm, namely mixed installation. Firstly, The optimization problem of micro-siting with mixed installation is established, which is then approached via a GA-based method, obtaining the type selection and positioning of turbines simultaneously. Finally, a complex scenario with practical wind conditions is utilized to demonstrate the feasibility of the proposed scheme.
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This work is supported by the National Natural Science Foundation of China (61673347).
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Tang, X., Shen, Y., Li, S., Yang, Q., Sun, Y. (2017). Mixed Installation to Optimize the Position and Type Selection of Turbines for Wind Farms. In: Liu, D., Xie, S., Li, Y., Zhao, D., El-Alfy, ES. (eds) Neural Information Processing. ICONIP 2017. Lecture Notes in Computer Science(), vol 10639. Springer, Cham. https://doi.org/10.1007/978-3-319-70136-3_33
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DOI: https://doi.org/10.1007/978-3-319-70136-3_33
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