Short term fluctuations of wind and solar power systems
Short term fluctuations of wind and solar power systems
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DOI：
10.1088/1367-2630/18/6/063027
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发表时间：
2016-06-24
影响因子：
3.3
通讯作者：
Peinke, Joachim
中科院分区：
文献类型：
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作者：
Anvari, M.;Lohmann, G.;Peinke, Joachim
众所周知，风能和太阳能发电受天气事件的影响很大，可能会突然上升或下降。电力生产中的此类事件不仅影响能源的可用性，而且影响整个电网的稳定性。通过分析来自世界各地几个地区的大量数据（分辨率为秒到分钟），我们提供了强有力的证据，证明可再生风能和太阳能在秒的时间尺度上表现出多种类型的可变性和非线性，并证明了它们的随机特性。与以前的研究结果相比，我们发现，只有跳跃的特征，可再生能源的减少时，增加的空间大小，可再生能源的收获。否则，强非高斯，间歇性行为的累积功率的总场生存，甚至为全国范围内分布的系统。可再生风能和太阳能的强烈波动行为可以很好地表征柯尔莫哥洛夫功率谱和q指数概率密度函数。利用估计的功率时间序列的潜在形状，我们量化的跳跃或扩散动力的功率。最后，我们提出了一个时间延迟反馈技术作为控制算法，以抑制所观察到的短期非高斯统计空间强相关和间歇性的可再生能源。
Wind and solar power are known to be highly influenced by weather events and may ramp up or down abruptly. Such events in the power production influence not only the availability of energy, but also the stability of the entire power grid. By analysing significant amounts of data from several regions around the world with resolutions of seconds to minutes, we provide strong evidence that renewable wind and solar sources exhibit multiple types of variability and nonlinearity in the time scale of seconds and characterise their stochastic properties. In contrast to previous findings, we show that only the jumpy characteristic of renewable sources decreases when increasing the spatial size over which the renewable energies are harvested. Otherwise, the strong non-Gaussian, intermittent behaviour in the cumulative power of the total field survives even for a country-wide distribution of the systems. The strong fluctuating behaviour of renewable wind and solar sources can be well characterised by Kolmogorov-like power spectra and q-exponential probability density functions. Using the estimated potential shape of power time series, we quantify the jumpy or diffusive dynamic of the power. Finally we propose a time delayed feedback technique as a control algorithm to suppress the observed short term non-Gaussian statistics in spatially strong correlated and intermittent renewable sources.