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Assessing wind speed simulation methods

delete2016-04-01
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A
Andrés Feijóo *
D
Daniel Villanueva
DOI:10.1016/j.rser.2015.11.094delete
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Abstract

Abstract

En 中文
In this paper simulation methods of wind speed series at different locations are reviewed. Over the last few decades wind farms (WF) have increasingly been introduced into electric power systems (EPS) in many countries. The strong relationship between wind speed and the power generated by a wind energy converter (WEC) has led researchers to reflect on the need to develop adequate models for simulating wind speed data. In recent years some proposals to meet this need have been published in the literature, and this paper aims to gather and discuss them. (C) 2015 Elsevier Ltd. All rights reserved.
Keywords:
Wind speed
Weibull distribution
Rayleigh distribution
Correlation
Autoregressive model
Markov process
Autocorrelation
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Journal

Renewable and Sustainable Energy Reviews cover
Renewable and Sustainable Energy Reviews
IF:
16.3
Papers:
1.6W
Citations:
18.5W

Organization

U
Universidade de Vigo
Scholars:
7.7K
Papers: 8.3K
Citations: 13
Cited Papers

Cited Papers

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Day-ahead wind speed forecasting using f-ARIMA models
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errKavasseri, Rajesh G.; Seetharaman, Krithika
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