دانلود مقاله ISI انگلیسی شماره 53891
عنوان فارسی مقاله

استفاده از یک الگوریتم کنترل برای پیش بینی سرعت باد و تولید توان اکتیو

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
53891 2005 14 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Application of a control algorithm for wind speed prediction and active power generation
منبع

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

Journal : Renewable Energy, Volume 30, Issue 4, April 2005, Pages 523–536

کلمات کلیدی
پیش بینی کوتاه مدت قدرت باد - الگوریتم پیش بینی؛ شبکه های عصبی مصنوعی؛ تولید برق بادی؛ ماشین القایی دوسو تغذیه
پیش نمایش مقاله
پیش نمایش مقاله استفاده از یک الگوریتم کنترل برای پیش بینی سرعت باد و تولید توان اکتیو

چکیده انگلیسی

The main objective of the work described in this paper is to offer a new method of prediction of wind speeds, whilst aware that the method develops predictions in time-scales that can vary from a few minutes to an hour. This is needed because wind energy generation is increasing its participation in energy distribution and has to compete with other energy sources that are not so variable in terms of generated active power. It is important to consider that active power demand can vary quite rapidly and different sources of electricity generation must be available. In the case of wind energy, wind speed predictions are an important tool to help producers make the best decisions when selling the energy produced. These decisions are crucial in the electricity market, because of the economic benefits for producers and consequently their profitability, depends on them. The algorithm presented in this paper is based on an artificial neural network and two types of wind data have been used to test the algorithm. In the first, data was collected from a not very windy area; in the second data was collected from a real wind farm located in Navarre (North of Spain), and the values vary from very low to high speeds. Although the algorithm was not tested with typical wind speed values measured on offshore wind farm applications, it can be concluded from the first set of results presented in this paper that the algorithm is valid for estimating average speed values. Finally, a generic algorithm for the active power generation of a wind farm is presented.

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