Optimal scheduling strategy of energy storage module with distributed photovoltaic short-term output prediction

Facing the severe challenge of global resource depletion, the efficient utilization of solar power generation has become a current research hotspot. However, large-scale distributed photovoltaic grid integration will lead to power fluctuations in the grid. This study proposes an optimal scheduling strategy for distributed photovoltaic energy storage systems. From a technical perspective, it considers short-term prediction methods for distributed photovoltaic output, achieving efficient scheduling of photovoltaic output resources. At the same time, this study also considers the economics of grid load fluctuations and the adjustment of load peak-valley differences. Finally, through the design of specific simulation examples, the feasibility of this method is verified. The research results provide a new perspective and approach for the safe and stable operation of the grid after photovoltaic power generation is integrated into the grid, to some extent, in the context of accelerating the transformation of the energy structure.