Study on power dynamic transfer characteristics of wind power generation system

2014 International Power Electronics and Application Conference and Exposition Pub Date : 2014-11-01 DOI:10.1109/PEAC.2014.7037846

Shude Yang, Xiangqian Tong, Hao Zhang

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引用次数: 4

Abstract

The wind power has the characteristics of intermittent, randomness and uncertainty. In order to make better use of wind power, many scholars use historical data to study the power fluctuation characteristics of wind power generation system,but as for the preparation or built-in wind farms, there are abundant wind speed data but without power data. So how to infer the electric power fluctuations from large numbers of wind speed data that is meaningful to the selection of wind farm related facilities. This paper decomposes the electric and wind power fluctuations in different frequency bands by using wavelet packet method with large numbers of wind speed and electric power data as samples. The rules of the electric and wind power changing with frequency are analyzed in detail and the transfer characteristics from wind power to electric power were drawn finally, which transform the electric power estimation into wind power estimation. This conclusion can provide some references for power fluctuations in preparation or built-in wind farms evaluation and the energy storage device selection to smooth the power fluctuations.

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风力发电系统动力动态传递特性研究

风力发电具有间歇性、随机性和不确定性等特点。为了更好地利用风力，许多学者利用历史数据研究风力发电系统的功率波动特性，但对于准备或内置的风电场，风速数据丰富，但没有功率数据。因此，如何从大量的风速数据中推断出电力的波动，对风电场相关设施的选择具有重要意义。本文以大量的风速和电力数据为样本，采用小波包方法对不同频段的电力和风电波动进行分解。详细分析了电、风功率随频率的变化规律，最后得出了风电向电力的传递特性，将电力估算转化为风电估算。该结论可为编制或内置风电场的功率波动评估和储能装置的选择提供一定的参考，以平滑功率波动。

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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2014 International Power Electronics and Application Conference and Exposition

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