Fluctuation feature extraction of wind power

The biggest challenge of integrating large-scale wind farms into a power system is the inherent fluctuation nature of the wind power. In order to identify appropriate operational and technological solutions to integrate wind plants, it is important to characterize the intermittency, variability and...

Full description

Saved in:
Bibliographic Details
Published inIEEE PES Innovative Smart Grid Technologies pp. 1 - 5
Main Authors Fufeng Miao, Xisheng Tang, Zhiping Qi
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2012
Subjects
Fast Fourier Transform (FFT)
Feature extraction
Fluctuations
Hilbert-Huang Transform (HHT)
Power systems
Ramp Rate
Wavelet Transform (WT)
Wavelet transforms
Wind farms
Wind Power
Wind power generation
Online AccessGet full text

Cover

More Information
Summary:The biggest challenge of integrating large-scale wind farms into a power system is the inherent fluctuation nature of the wind power. In order to identify appropriate operational and technological solutions to integrate wind plants, it is important to characterize the intermittency, variability and uncertainty of a certain wind farm output. This paper describes some typical methods including Ramp Rate, Fast Fourier Transform, Wavelet Transform and Hilbert-Huang Transform to qualitatively and quantitatively analyze the fluctuation characteristics of the wind power from the view of time domain, frequency domain and time-frequency domain especially. Then the historical power data from a wind farm is utilized to illustrate the above methods of wind power fluctuation extraction. The methods proposed in this paper can provide some useful information for the reliable and effective operation of the power system.
ISBN:1467312215
9781467312219
ISSN:2378-8534
2378-8542
DOI:10.1109/ISGT-Asia.2012.6303279