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Temporal Interpolation of Gridded Solar Radiation Data for Evaluation of PV Fluctuations

机译:网格化太阳辐射数据的时间内插对PV波动评估

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As the solar photovoltaic systems (PV) are massively installed into power system on an urban scale, short-term (about 10 seconds) fluctuations of PV output can negatively effect on the power system. Battery storage systems are capable of alleviating the effect of PV fluctuations; power flow simulation of such systems is also meaningful to discuss the practical operation and required capacity of those storages. Recent weather satellites provide quasi real time distribution data of solar radiation which is quite suitable for the power flow simulation. However, they do not equip enough temporal resolution to observe the short-term fluctuations of radiation. This paper proposes a temporal interpolation method for the radiation data derived from weather satellite, and aims to obtain plausible fluctuations in radiation values with high temporal resolution. The proposed method is mainly composed of two steps. The first step is an estimation of cloud movements. An object tracking technique is used to obtain plausible cloud movements by considering characteristics of clouds. The second step is an interpolation based on the estimated cloud movements. The experimental results show that the proposed method can produce more plausible radiation values than the other naive methods. We also compared radiation data collected by a satellite and those collected by ground measurement, and discuss the usefulness of interpolated radiation values for the power flow simulation.
机译:随着太阳能光伏系统(PV)在城市规模上大量安装到电力系统中,短期(约10秒)PV输出的波动可能对电力系统产生负面影响。电池存储系统能够减轻光伏波动的效果;这些系统的电流仿真也有意义,讨论这些商店的实际操作和所需的容量也是有意义的。最近的天气卫星提供了太阳辐射的准实时分布数据,其非常适合于电流仿真。然而,它们没有足够的时间分辨率来观察辐射的短期波动。本文提出了一种源自天气卫星的辐射数据的时间内插方法,旨在获得具有高时间分辨率的辐射值的合理波动。该方法主要由两个步骤组成。第一步是云运动的估计。对象跟踪技术用于通过考虑云的特征来获得合理的云运动。第二步是基于估计的云运动的插值。实验结果表明,该方法可以产生比其他幼稚方法更合理的辐射值。我们还比较由卫星收集的辐射数据和由地测量收集的辐射数据,并讨论电流模拟的内插辐射值的有用性。

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