Responding to the stochasticity and uncertainty in the power height of distributed photovoltaic power generation. This paper presents a distributed photovoltaic ultra-short-term power forecasting method based on Variational Mode Decomposition (VMD) and Channel Attention Mechanism. The verification is conducted using a dataset from a distributed photovoltaic power station in the Northwest region of China. The results show that compared with other prediction methods, the method proposed in this paper has a higher prediction accuracy, which helps to improve the proportion of distributed PV access to the grid, and can guarantee the safe and stable operation of the power grid.
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