The impact of turbulent renewable energy production on power grid stability and quality

The impact of turbulent renewable energy production on power grid stability and quality
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可再生能源生产动荡对电网稳定性和质量的影响

DOI:
10.1140/epjb/e2017-80352-8
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发表时间:
2017
期刊:
The European Physical Journal B
影响因子:
--
通讯作者:
O. Kamps
O. Kamps
中科院分区:
--
文献类型:
--
作者:
K. Schmietendorf;J. Peinke;O. Kamps

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由可再生能源引起的馈入波动是电网稳定性和质量的关键挑战之一。特别是短期波动干扰系统的时间尺度上,负载平衡还没有运作,系统本质上是由自组织同步。众所周知,风能和太阳能是强非高斯的,在这些时间尺度上具有间歇性的增量统计。我们调查短期风波动的影响的基础上的Kuramoto的电网模型,考虑到稳定性方面的去极化和频率和电压质量方面。我们提出了一个程序来产生现实的馈入波动的时间相关性,柯尔莫哥洛夫功率谱和间歇性增量。通过与相同频谱的相关高斯噪声和高斯白色噪声进行比较,我们发现,虽然相关性对于捕获严重停电的可能性至关重要,但风力发电的间歇性对电能质量具有重大影响:不稳定性直接转化为频率和电压波动,产生一种新型的波动,这超出了工程知识水平。
Feed-in fluctuations induced by renewables are one of the key challenges to the stability and quality of electrical power grids. In particular short-term fluctuations disturb the system on a time scale, on which load balancing does not operate yet and the system is intrinsically governed by self-organized synchronization. Wind and solar power are known to be strongly non-Gaussian with intermittent increment statistics in these time scales. We investigate the impact of short-term wind fluctuations on the basis of a Kuramoto-like power grid model considering stability in terms of desynchronization and frequency and voltage quality aspects. We present a procedure to generate realistic feed-in fluctuations with temporal correlations, Kolmogorov power spectrum and intermittent increments. By comparison to correlated Gaussian noise of the same spectrum and Gaussian white noise, we found out that while the correlations are essential to capture the likelihood of severe outages, the intermittent nature of wind power has significant consequences on power quality: intermittency is directly transferred into frequency and voltage fluctuations yielding a novel type of fluctuations, which is beyond engineering status of knowledge.
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