论文标题
幕后光伏系统的发电现象
Power Generation Nowcasting of the Behind-the-Meter Photovoltaic Systems
论文作者
论文摘要
低压分配系统中的照片伏特系统（PVSS）的数量快速增加，需要对这些系统进行实时监控。但是，考虑到必要的投资成本，在不久的将来似乎无法实现实时监控基础设施安装。因此，实现这一必要性的替代方法至关重要。在这项研究中，提出了一种方法来现实地播放幕后PVSS的发电。该方法取决于PVS逆变器的谐波电流注入与PVS发电之间的强相关性。人工神经网络方法（ANN）用于建模预测因子与汇总PVS输出之间的关系，即生成的功率。最后，通过实际领域数据评估该方法的有效性。
Rapid increase in the number of photo voltaic systems (PVSs) across the low voltage distribution systems required real-time monitoring of those systems. However, considering the necessary investment cost, real-time monitoring infrastructure installation does not seem to be achieved in the near future. Thus, alternative approaches to achieve this necessity is crucial. In this study, a method is proposed to nowcast the power generation of the behind-the-meter PVSs. The method relies on the strong correlation between the harmonic current injection of the PVS inverter and the power generation of the PVS. The Artificial Neural Network method (ANN) is utilized to model the relation between the predictors and the aggregated PVS output, i.e. generated power. Finally, the effectiveness of the approach is assessed with real field data.
