Abstract
In order to predict the wind speed at the hub, this paper established the physical model of the wind speed, wind profile method and analytic method based on potential flow theory, the wind tower wind speed extrapolated each fan at hub height wind speed. In order to get the accurate wind power relationship, each fan speed data obtained by extrapolation of wind power output and the corresponding data, the measured power curve model of wind turbine generator by using the maximum likelihood method, the model for the launch of fan power theory should be made. According to the measured power curve of each unit tower data and wind power generation capacity, theoretical calculation of wind farm in the corresponding period, and then obtain the abandoned wind power, and through the simulation experiment, which lays a theoretical foundation for the realization of the tower was abandoned wind power assessment model.
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Xu, A., Gao, Y., Leng, X., Wu, W., Zhong, H. (2020). Wind Power Curtailment Scheme Based on Wind Tower Method. In: Hassanien, A., Azar, A., Gaber, T., Bhatnagar, R., F. Tolba, M. (eds) The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019). AMLTA 2019. Advances in Intelligent Systems and Computing, vol 921. Springer, Cham. https://doi.org/10.1007/978-3-030-14118-9_78
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DOI: https://doi.org/10.1007/978-3-030-14118-9_78
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