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Prediction interval estimation of 10 second fluctuation of PV output with just-in-time modeling

机译:实时建模的光伏输出10秒波动的预测间隔估计

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The Output of photovoltaic (PV) systems depends on weather conditions. Therefore if there is a large introduction of PV systems, the power quality in the distribution system will be affected. One effective solution for this problem is to predict PV output. Although the need for prediction information for short period fluctuation is increasing, it is difficult to directly predict a steep fluctuation on the second time scale. For the prediction information of PV output, we propose the estimation of the prediction interval of the fluctuation widths on a 10 second scale. In this paper, we carry out the prediction by using the conventional method, with one-dimensional kernel density estimation, and the proposed method, with two-dimensional kernel density estimation. Then, we discuss the effectiveness of the proposed method based on several numerical indexes.
机译:光伏(PV)系统的输出取决于天气状况。因此,如果大量引入光伏系统,则会影响配电系统中的电能质量。解决此问题的一种有效方法是预测PV输出。尽管对于短期波动的预测信息的需求在增加,但是难以直接预测第二时间尺度上的急剧波动。对于光伏输出的预测信息,我们提出了以10秒为单位的波动幅度预测间隔的估计。在本文中,我们使用一维内核密度估计的常规方法进行预测,并使用二维内核密度估计的方法进行预测。然后,我们基于几个数值指标讨论了该方法的有效性。

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