| abstract |
The invention relates to a photovoltaic output prediction method and system based on an edge internet of things agent. The method is based on the edge Internet of things agent structure, and solves the problem of excessive output of the two-stage photovoltaic power generation system by using a Non-MPPT algorithm. When the photovoltaic array normally operates, the output voltage of the photovoltaic array is adjusted in real time by correcting the environmental parameters of the photovoltaic array, so that the photovoltaic array outputs the maximum power, and the maximum power tracking of the photovoltaic array is realized. If partial shading occurs, the distributed optimization chopper based on the photovoltaic modules realizes the distributed control of the photovoltaic modules under different environmental conditions. And when the output of the regional power grid photovoltaic power generation system is excessive, managing the photovoltaic power generation system in a subarea mode according to the actual illumination intensity of the photovoltaic array, redistributing the output share of the photovoltaic power generation system, deducing the corresponding output voltage of the photovoltaic array according to the distribution power limit, and further enabling the output power of the photovoltaic power generation system to be quickly adjusted according to the main network requirement. The invention can effectively reduce the communication blockage condition that a large amount of data is simultaneously transmitted to the control center, and improve the efficiency and the real-time performance of regulation and control. |