دانلود مقاله ISI انگلیسی شماره 52459
عنوان فارسی مقاله

مدل سازی منحنی قدرت توربین باد با استفاده از شبکه عصبی مصنوعی

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
52459 2016 8 صفحه PDF سفارش دهید 4720 کلمه
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Wind turbine power curve modelling using artificial neural network
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Renewable Energy, Volume 89, April 2016, Pages 207–214

کلمات کلیدی
توربین بادی - مدل سازی منحنی قدرت - شبکه عصبی مصنوعی - چگالی هوا - شدت تلاطم - برش باد
پیش نمایش مقاله
پیش نمایش مقاله مدل سازی منحنی قدرت توربین باد با استفاده از شبکه عصبی مصنوعی

چکیده انگلیسی

Technical improvements over the past decade have increased the size and power output capacity of wind power plants. Small increases in power performance are now financially attractive to owners. For this reason, the need for more accurate evaluations of wind turbine power curves is increasing. New investigations are underway with the main objective of improving the precision of power curve modeling. Due to the non-linear relationship between the power output of a turbine and its primary and derived parameters, Artificial Neural Network (ANN) has proven to be well suited for power curve modelling. It has been shown that a multi-stage modelling techniques using multilayer perceptron with two layers of neurons was able to reduce the level of both the absolute and random error in comparison with IEC methods and other newly developed modelling techniques. This newly developed ANN modeling technique also demonstrated its ability to simultaneously handle more than two parameters. Wind turbine power curves with six parameters have been modelled successfully. The choice of the six parameters is crucial and has been selected amongst more than fifty parameters tested in term of variability in differences between observed and predicted power output. Further input parameters could be added as needed.

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