There is a growing concern over addressing the adverse effects of variations in the output power of distributed generators such as photovoltaic generation (PVG) systems that continue to be widely introduced into power networks. Nowadays, most network operators are requiring these intermittent energy resources to seek compliance with new regulations pertaining to the restriction of their export power fluctuations. This paper aims to investigate the smoothing of the export power fluctuations primarily attributed to clouds passing over the PVG plant, which are traditionally compensated by integrating a battery storage (BS) system. The idea of incorporating short-term solar prediction information into the conventional smoothing approach is examined to indicate how it affects the engagement of BS in the smoothing process. Afterward, an enhanced solar forecasting scheme based on whole-sky imaging is proposed and its performance is demonstrated through several real-time experiments complemented with simulation studies. The results reveal that the proposed PVG smoothing strategy is capable of successfully filtering rapid export power fluctuations to an acceptable extent and the conventional generation reserves will experience a negligible amount of remaining undesired power variation. This clearly bears out the hypothesis of battery-less PVG regulation.

中文翻译：

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使用天空相机实现光伏发电的无电池短期平滑


人们越来越关注如何解决分布式发电机输出功率变化的不利影响，例如继续广泛引入电网的光伏发电（PVG）系统。如今，大多数网络运营商都要求这些间歇性能源遵守有关限制其出口电力波动的新法规。本文旨在研究主要归因于光伏电站上方云层的输出功率波动的平滑情况，传统上通过集成电池存储（BS）系统来补偿输出功率波动。我们对将短期太阳预测信息纳入传统平滑方法的想法进行了研究，以表明它如何影响 BS 在平滑过程中的参与。随后，提出了一种基于全天成像的增强型太阳预报方案，并通过多个实时实验和模拟研究证明了其性能。结果表明，所提出的PVG平滑策略能够成功地将快速的输出功率波动过滤到可接受的程度，并且常规发电储备将经历剩余的不需要的功率变化的量可以忽略不计。这清楚地证实了无电池 PVG 调节的假设。