浮式海上风力发电机的实验建模

Christian Lindquist, P. Nielsen, Rikke Pedersen, M. Soltani
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引用次数: 1

摘要

领先的风力涡轮机制造商正越来越多地考虑将海上风力涡轮机送到深海的可能性。这可以使用浮动海上风力涡轮机(FOWT)来完成。因此,FOWT是一个有趣而及时的研究领域。本文的目的是利用系统识别(SI)为位于奥尔堡大学海上风浪实验室的FOWT系统建立一个基于数据驱动的模型。这是通过进行实验和分析数据来实现的。SI用于分析实验数据,得到不同的模型。然后根据拟合、频率响应、自相关和互相关对这些模型进行评估。最后,自回归移动平均和额外输入(ARMAX)模型被证明是最准确的分析模型。
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Experimental Modelling of a Floating Offshore Wind Turbine
Leading wind turbine manufacturers are increasingly looking at the possibilities of sending offshore wind turbines to deep seas. This can be done using a Floating Offshore Wind Turbine (FOWT). Therefore FOWT is an interesting and timely field of study. The aim of the paper is to use System Identification (SI) to make a data-driven-based model for the FOWT system, located in Offshore Wind & Wave Laboratory at Aalborg University. This is achieved by conducting experiments and analyzing the data. SI is used to analyze data from the experiments and obtain different models. These models are then evaluated based on the fit, the frequency response, autocorrelation and crosscorrelation. Eventually, an AutoRegressive Moving Average and Extra input (ARMAX) model is shown to be the most accurate amongst the analyzed models.
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