Characterization of Daily Wind Farm Power Fluctuations Using Wavelet Transform

X. Chu, Wen Zhang, T. Nwachukwu, I. Hiskens
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引用次数: 2

Abstract

With the increase of wind power installed capacities, the cost of integration is large due to the intermittent nature of wind energy. To accommodate wind farm power fluctuations, additional control measures are required. Accurate characterization of the fluctuations paves the way for optimal control design. In identifying localized characteristics of the signal, wavelet transform provides a suitable tool. Data gathered at a wind farm of New Mexico are studied with its daily output variations characterized using wavelet transform.
用小波变换表征风电场日功率波动
随着风电装机容量的增加,由于风能的间歇性,整合成本很大。为了适应风力发电场的电力波动,需要采取额外的控制措施。波动的准确表征为优化控制设计铺平了道路。在识别信号的局部特征时,小波变换提供了一种合适的工具。对新墨西哥州某风电场的数据进行了小波变换,并对其日输出变化进行了分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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